Why This Matters for Insurers and Mobility Stakeholders

This case underscores how emerging vehicle technologies are reshaping liability risk, coverage exposure, and regulatory expectations. Key questions raised during the trial include:

• Liability Allocation: How should responsibility be split between drivers and manufacturers when advanced driver-assistance systems are in use?
• Safety Claims and Marketing: To what extent do public statements by automakers influence juror perceptions of reasonable reliance?
• Data Integrity: What obligations do manufacturers have to preserve and disclose crash data to insurers, regulators, and courts?
• Risk Culture: How should insurers and mobility companies assess the reliability of driver-assist systems when underwriting or litigating claims?

Trial Highlights with Industry Impact

• Expert Testimony: Former NHTSA advisor Dr. Mary Cummings detailed Autopilot’s limitations and failures in monitoring driver engagement.
• Digital Forensics: Plaintiffs’ experts retrieved previously unavailable Autopilot ECU data, allowing reconstruction of crash dynamics.
• Corporate Messaging: Elon Musk’s public statements about “Level 5 hardware” and Autopilot safety were admitted at trial and weighed against Tesla’s own engineers’ testimony.

The Verdict

The jury awarded:

• $123.1 million to survivor Dillon Angulo
• $119.4 million to the Estate of Naibel Benavides
  This included $200 million in punitive damages, signaling how jurors view accountability in the age of automation.

Tesla had earlier rejected $60 million in settlement proposals. By awarding more than four times that amount, the jury set a clear precedent for how risks tied to emerging vehicle technologies will be judged in court.

Why Nelson Law LLC

At Nelson Law LLC, we bring deep expertise at the intersection of mobility technology, product liability, and insurance risk. We help insurers, manufacturers, and regulators understand what verdicts like Benavides v. Tesla mean for claims, litigation strategy, underwriting, and regulatory compliance.

Access the full trial record and summary here

If your company is navigating claims or policy decisions involving advanced vehicle technologies, Nelson Law LLC can help you anticipate risks, interpret liability trends, and craft strategies that protect your business.

We’re proud to share that Nelson Law, LLC was recently featured in Carrier Management’s August 6, 2025 article, “Digging Into Tesla’s Liability in Crash Case: Where’s the Data?” — a deep dive into the Benavides v. Tesla trial and its implications for liability, safety, and data access in modern vehicles.

The article highlights key insights from our recent Nelson Law webinar, where Managing Partner Mike Nelson and industry expert Phil Koopman unpacked the legal and technical factors behind a Florida jury’s decision to hold Tesla 33% liable in a crash that killed a bystander and injured another. The verdict included $42.5 million in compensatory damages and $200 million in punitive damages against Tesla.

During the webinar, Mike Nelson emphasized the critical importance of preserving on-board vehicle data after a crash:

“Your insurance company most likely is going to ‘total loss’ this car. You want to say … ‘I want this car put on hold until we’ve figured out what happened.’”

The discussion also explored how Tesla’s vehicle data systems work, what data may or may not be available from Tesla’s servers, and how overlooked sources — such as an internal SD card — can be essential to reconstructing events.

Why This Matters for Insurers and Litigators:

• Evidence Preservation: Early intervention can ensure critical crash data isn’t lost when vehicles are declared a total loss.
• Strategic Claims Handling: Understanding vehicle data architecture can give insurers and attorneys a decisive advantage.
• Accountability in Tech-Driven Cases: This verdict signals growing jury willingness to hold manufacturers liable even when driver distraction is a factor.

We thank Carrier Management for spotlighting Nelson Law, LLC’s thought leadership in this rapidly evolving area of law. Our firm remains committed to guiding insurers, manufacturers, and policyholders through the legal complexities of advanced vehicle technology, product liability, and crash investigation.

The jury ruled that Tesla was partly responsible for the crash—finding the company 33% liable—and required Tesla to pay all punitive damages. This marked the first time a U.S. jury held Tesla financially accountable for Autopilot’s role in a deadly crash.

What the Case Was About

• The Crash: Driver George McGee was distracted while using Autopilot, missed a stop sign at high speed, and crashed.
• The Claims: The victims’ families argued Tesla’s marketing exaggerated Autopilot’s abilities, encouraging over-reliance. They also pointed to missing crash data and a lack of safety features like better driver-monitoring and road-restriction tools.
• Tesla’s Defense: Tesla argued the crash was caused entirely by McGee’s distraction and speeding. They stressed that Autopilot was only meant as a driver-assist tool, not full self-driving.

Why This Matters

This case highlights the risks that come with advanced driver-assistance systems and the way they are marketed to the public. The verdict shows that juries may hold automakers accountable if technology is promoted in a way that leads drivers to place too much trust in it.

For drivers, insurers, and industry leaders, the takeaway is clear:

• Technology doesn’t replace responsibility. Even advanced systems require full driver attention.
• Clear communication matters. How companies talk about these features can affect both public safety and legal liability.
• The law is catching up. Courts are beginning to test whether companies can be held responsible when marketing and safety don’t align.

Looking Ahead

Tesla has said it will appeal the verdict. But regardless of the outcome, this case sets an important precedent in the conversation about vehicle automation, safety, and accountability.

For those who want to explore the case in greater depth, we’ve provided a detailed [Case Summary PDF] prepared by Nelson Law LLC, which includes the court’s rulings, key testimony, and trial timeline.

At Nelson Law LLC, we help clients, insurers, and industry professionals understand these fast-moving legal and technological issues. Our goal is to provide clarity on how cases like this shape the future of mobility and liability.

We’ve posted the completed jury verdict form from Benavides v. Tesla Inc., a landmark product liability case involving Tesla’s driver assistance technology. This document captures the jury’s final findings on liability, causation, and damages, and marks a pivotal moment in the ongoing legal and regulatory conversation around automated driving systems.

The verdict offers valuable insight into how jurors interpreted the facts, expert testimony, and legal arguments presented throughout the trial. For attorneys, insurers, policymakers, and mobility tech professionals, this case—and this verdict—may serve as a bellwether for future litigation involving advanced vehicle technologies.

As part of our ongoing effort to provide transparency and insight into high-stakes litigation involving emerging technologies, we’re making key pleadings and filings from Benavides v. Tesla Inc. available for review.

This case—centered on allegations involving Tesla’s driver assistance systems and product liability claims—raises important questions about legal responsibility, safety disclosures, and the evolving role of automation in personal injury litigation. By sharing these documents, we aim to support informed dialogue among legal professionals, policymakers, industry stakeholders, and the public.

Check back regularly as we continue to upload motions, responses, expert reports, and other court filings from this closely watched trial.

Regulatory Bodies:

• NHTSA
  • The National Highway Traffic Safety Administration is responsible for keeping people safe on America’s roadways.
  • Through enforcing vehicle performance standards and partnerships with state and local governments, NHTSA reduces deaths, injuries and economic losses from motor vehicle crashes.
    • Website: https://www.nhtsa.gov/
• DOE
  • The United States Department of Energy (DOE) is an executive department of the U.S. federal government that oversees U.S. national energy policy and energy production, the research and development of nuclear power, the military’s nuclear weapons program, nuclear reactor production for the United States Navy, energy-related research, and energy conservation.
    • Website: https://www.energy.gov/
• FHWA
  • The Federal Highway Administration (FHWA) is an agency within the U.S. Department of Transportation that supports State and local governments in the design, construction, and maintenance of the Nation’s highway system (Federal Aid Highway Program) and various federally and tribal owned lands (Federal Lands Highway Program). Through financial and technical assistance to State and local governments, the Federal Highway Administration is responsible for ensuring that America’s roads and highways continue to be among the safest and most technologically sound in the world.
    • Website: https://highways.dot.gov/
• NSTB
  • The National Transportation Safety Board (NTSB) is an independent U.S. government investigative agency responsible for civil transportation accident investigation. In this role, the NTSB investigates and reports on aviation accidents and incidents, certain types of highway crashes, ship and marine accidents, pipeline incidents, bridge failures, and railroad accidents. The NTSB is also in charge of investigating cases of hazardous materials releases that occur during transportation.
    • Website: https://www.ntsb.gov/Pages/home.aspx

Trade Organizations:

• AVIA
  • The Autonomous Vehicle Industry Association’s (AVIA) mission is to advocate for the safe and timely deployment of autonomous driving technology. We are the unified voice of the diverse companies working toward a world where safe and trusted AVs increase road safety, boost supply chains and improve mobility opportunities for all.
    • Website: https://theavindustry.org/
• PAVE
  • PAVE’s goal is purely educational—we don’t advocate for a particular technology or specific public policies. Our members believe that we can only achieve the potential benefits of driverless technology if the public and policymakers know the honest facts. PAVE wants to raise public awareness of both what is on the roads today and what is possible for the future.
    • Website: https://pavecampaign.org/
• IIHS
  • The Insurance Institute for Highway Safety (IIHS) is an independent, nonprofit scientific and educational organization dedicated to reducing deaths, injuries and property damage from motor vehicle crashes through research and evaluation and through education of consumers, policymakers and safety professionals.
    • Website: https://www.iihs.org/about
• SAE
  • SAE International is a global professional association and standards organization based in Warrendale, Pennsylvania, United States. Formerly the Society of Automotive Engineers, the organization adopted its current name in 2006 to reflect both its international membership and the increased scope of its activities beyond automotive engineering and the automotive industry to include aerospace and other transport industries, as well as commercial vehicles including autonomous vehicles such as self-driving cars, trucks, surface vessels, drones, and related technologies.
    • Website: https://www.sae.org/

Nelson Law’s latest Data Privacy Resource provides an in-depth look at critical legal considerations, regulatory developments, and industry implications. This document explores:

• Federal and state privacy laws shaping business practices
• The legal impact of data collection, storage, and usage
• Emerging trends in biometric data, vehicle telematics, and consumer privacy
• Regulatory enforcement actions and what they mean for companies

Staying informed on these issues is essential for navigating today’s legal landscape.

Download the Resource

For continued updates on data privacy law and compliance strategies, subscribe to our newsletter or contact Nelson Law for tailored legal guidance.

Glossary:

AC: Alternate Current: This type of charging is useful for charging electric vehicles at different speeds through an alternating current. Electric vehicle charging always comes out as AC. With an AC charger, the power is converted to DC by the vehicle itself. This type of charging is economical but takes longer. Learn more

ACC: Adaptive Cruise Control: Adaptive cruise control (ACC) is a type of advanced driver-assistance system for road vehicles that automatically adjusts the vehicle speed to maintain a safe distance from vehicles ahead (Wikipedia). Learn more

ACN: Automatic Crash Notification: An automatic crash notification system is designed to notify emergency responders that a crash has occurred and provide its location. In most cases, when the system detects that an air bag has deployed or that there’s been a dramatic and sudden deceleration, the system automatically connects to an operator, who will then be able to communicate with the driver. The operator is also able to collect basic information from the vehicle, without driver input, to provide to emergency responders so they can easily locate the crash scene. Learn more

ADS: Automated Driving System: An automated driving system (ADS) is a vehicle system that uses hardware and software to control a vehicle without human intervention. ADSs use artificial intelligence (AI) to make decisions and control the vehicle’s movements based on real-time data from sensors and geographic information systems. Learn more

ADS-B: Automatic Dependent Surveillance–Broadcast: Originally used in aviation, ADS-B is being adapted in autonomous vehicles for real-time positioning and communication with other vehicles and infrastructure.

ADAS: Advanced Driver Assistance System: Advanced driver assistance systems (ADAS) are designed to help drivers with certain driving tasks, such as staying in the lane, parking, avoiding crashes, reducing blind spots, and maintaining a safe headway. ADAS is generally designed to improve safety or reduce the workload on the driver. Learn more

AEB: Autonomous/Automatic Emergency Braking: AEB is a system that continuously monitors the road ahead and will autonomously apply the brakes if it detects any obstacle and doesn’t receive input from the driver. Learn more

ALKS: Automated Lane Keeping System: ALKS is a system that allows a vehicle to drive itself in a single lane without constant driver supervision, typically on highways. It controls speed, braking, and steering under specific conditions.

ALM: Accessory Load Management: A smart-charging feature designed for an older home that can’t handle all the electrical loads being powered, such as range, air conditioner, or dryer, in addition to an EV. This utilizes an amperage device installed on the circuit box that monitors the demand and will prevent overloading from occurring when trying to charge an EV. Learn more

AV: Autonomous Vehicle: An autonomous vehicle is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all. An autonomous vehicle can go anywhere a traditional car goes and do everything that an experienced human driver does. Learn more

AVAS: Acoustic Vehicle Alerting Systems: Acoustic vehicle alerting systems (AVAS) are sound generators used in EVs to alert pedestrians, cyclists, children, and other road users that a car is present. Played via loudspeakers located beneath the bodywork, these sounds are coordinated with the vehicle’s real-time data to provide external auditory information on the vehicle’s speed, direction, and distance. Learn more

BEV: Battery Electric Vehicle: Also known as “Electric Vehicle” (See “Electric Vehicle” – EV). Learn more

BMS: Battery Management System: A system that manages the charging and discharging of batteries to ensure safe and efficient operation. Learn more

BSI: Blind Spot Intervention: Blind spot intervention helps prevent a collision with a vehicle in the driver’s blind spot. If the driver ignores the blind spot warning and starts to change to a lane where there’s a vehicle, the system activates and automatically applies light braking pressure or provides steering input to guide the vehicle back into the original lane. The system monitors for vehicles in the driver’s blind spot using rear-facing cameras or proximity sensors. Learn more

BSW: Blind Spot Warning: Uses a symbol, sound, or vibration to let the driver know there are vehicles located in their blind spots. Learn more

CAN: Controller Area Network: A vehicle bus standard designed to allow microcontrollers and devices to communicate with each other. Learn more

CIB: Crash Imminent Braking (part of AEB): Crash imminent braking automatically applies the vehicle’s braking to slow or stop the car if the driver fails to brake on time. Learn more

CCS: Combined Charging System: It offers both AC and DC charging on the same port and provides power of up to 350kW. This is the industry-standard method for public charging stations and also home charging setups in Europe and America. It may also be called a “combo plug”. Learn more

CDR: Crash Data Retrieval (part of EDR): Crash Data Retrieval is a term used by those who use specialized equipment to “retrieve” the vehicle’s EDR (event data recorder) data. Learn more

CHAdeMO: A DC fast-charging standard developed in Japan. Learn more

CPM: Charging Point Manager: This refers to a type of software responsible for smart charging, i.e., allocating power to different electric vehicles to make sure that each one charges as quickly as possible. It relies on customizable algorithms to work efficiently. Learn more

CPO: Charging Point Owner: A CPO is an operator who owns and oversees the operation of electric vehicle smart charging points. Learn more

C-V2X: Cellular Vehicle-to-Everything: C-V2X is a communication technology that enables vehicles to communicate with each other and with infrastructure, pedestrians, and networks using cellular networks (4G, 5G).

DBS: Dynamic Brake Support (part of AEB): Dynamic brake support automatically supplements the driver’s braking if the driver doesn’t brake hard enough to avoid a crash. Learn more

DC: Direct Current: DC is one of the two types of ‘fuel’ that can be used to power electric vehicles. Unlike AC charging, which is converted into DC power by the car, DC charging can convert the AC power into DC right in the plug itself. DC chargers are larger, more expensive, but faster. It is more common at public charging stations, such as at a rest stop charge point. Learn more

DDT: Dynamic Driving Task: The dynamic driving task means all of the real-time operational and tactical functions required to operate a vehicle in on-road traffic, excluding strategic functions such as trip scheduling and selection of destinations and waypoints. Learn more

DLB: Dynamic Load Balancing: Where multiple charging stations are located, a way that level 2 and 3 chargers can be set up to dispense the available voltage. The term “First Come First Served” is used when setting up a string of EVSE that is set to DLB parameters. This means the first vehicle to attach to a charger will receive the highest output that the charger can deliver and that the vehicle will take. The other vehicles that plug into subsequent chargers will share the remaining power output available from the site. Learn more

DLM: Dynamic Load Management: Dynamic Load Management (or DLM) refers to an EV charging technology that makes it possible to evenly distribute electricity to all vehicles that might be plugged in simultaneously. In other words, DLM optimizes charging speed and prevents grid congestion episodes. Learn more

DMS: Driver Monitoring System: DMS uses cameras and sensors to monitor driver attentiveness and readiness to take control of the vehicle if required in semi-automated driving modes.

DoD: Depth of Discharge: The percentage of the battery capacity that has been used. Learn more

DSO: Distribution System Operator: These are the operating managers and/or owners of energy distribution networks. Learn more

DSSAD: Data Storage for Automated Driving: The DSSAD is a device or a function that records and stores a set of data from any vehicle equipped with Level 3, Level 4, or Level 5 Automated Driving Systems (ADS). Whenever a significant safety-related event occurs, it provides a clear picture of the interactions between the driver and the system before and after the event. Learn more

EDR: Event Data Recorder: An Event Data Recorder (EDR) is a function or device installed in a motor vehicle to record technical vehicle and occupant information for a very brief period of time before, during, and after a crash, solely for the purpose of monitoring and assessing vehicle safety system performance. Learn more

EMP: Electro-Mobility Provider: An EMP is a company that provides customers access to an electric vehicle charging network. They often offer tracking services, such as apps, for evaluating the availability of charging stations. EMPs are also responsible for determining the price of electric vehicle charging. Also known as EMSP (Electro-Mobility Service Provider). Learn more

EMV: Electromagnetic Compatibility: The ability of electronic devices to operate without interfering with each other. Learn more

EREV: Extended Range Electric Vehicle: A vehicle powered by electricity that can additionally be produced from a small internal combustion engine. Learn more

EV: Electric Vehicle: An EV is defined as a vehicle powered by an electric motor that draws electricity from a battery and is capable of being charged from an external source. EVs include both vehicles powered solely by an electric motor and plug-in hybrid electric vehicles. Learn more

EVSE: Electric Vehicle Supply Equipment: Electric vehicle supply equipment (EVSE) supplies electricity to an electric vehicle (EV). Commonly called charging stations or charging docks, they provide electric power to the vehicle and use it to recharge the vehicle’s batteries. Learn more

FCEV: Fuel Cell Electric Vehicle: Fuel Cell Electric Vehicles (FCEVs) are technologically advanced electric vehicles equipped with a fuel cell that converts hydrogen into electricity. The only by-product is condensed water vapor. FCEVs are emission-free. Learn more

FCW: Forward Collision Warning: Forward collision warning systems warn of an impending collision by detecting stopped or slow-moving vehicles ahead. The system uses radar, lasers, or cameras to scan the road and provides warnings using lights, beeps, or seat vibrations. Learn more

FSD: Full Self-Driving: A term popularized by Tesla to describe its advanced driver-assistance package designed to eventually enable full automation (SAE Level 4 or 5).

GHG: Greenhouse Gas: Greenhouse gases trap the sun’s heat in the Earth’s atmosphere, contributing to climate change. Common greenhouse gases include ozone, nitrous oxide, water vapor, methane, and carbon dioxide. Cars with internal combustion engines emit greenhouse gases through their tailpipes. Learn more

GNSS: Global Navigation Satellite System: GNSS includes GPS and other satellite positioning systems that provide location and timing data critical for autonomous vehicle navigation.

HAD: High-Definition Map for Automated Driving: HAD maps provide centimeter-level accuracy with detailed lane markings, traffic signs, and infrastructure data to support precise navigation in autonomous vehicles.

HEV: Hybrid Electric Vehicles: Hybrid Electric Vehicles (HEVs) combine an internal combustion engine with an electric motor. These motors recover energy during braking and store it in batteries, supporting the drivetrain. Learn more

HMI: Human-Machine Interface: In autonomous vehicles, HMI refers to the interface that communicates system status, alerts, or driving mode transitions between the AV and the human driver or passengers.

ICE: Internal Combustion Engine: Internal combustion engines use liquid fuel (gasoline) to generate energy to power traditional vehicles. ICE cars are the most common vehicles on the road, though EVs are becoming more accessible. Learn more

ISA: Intelligent Speed Assistance: ISA uses GPS and traffic sign recognition to prevent vehicles from exceeding legal speed limits by warning or automatically controlling speed.

LCA: Lane Centering Assistance: Lane centering assistance uses a camera-based vision system to monitor the vehicle’s lane position and automatically apply steering inputs to keep the vehicle centered within its lane. Learn more

LiFePO4: Lithium Iron Phosphate: A type of lithium-ion battery chemistry known for its safety and long cycle life. Learn more

Li-ion: Lithium Ion: A type of rechargeable battery commonly used in electric vehicles. Learn more

LKA: Lane Keeping Assistance: Lane keeping assistance prevents the vehicle from unintentionally drifting out of its lane. The system uses sensors to detect lane markings and corrects steering, braking, or acceleration to keep the vehicle in its lane. Learn more

LDW: Lane Departure Warning: A lane departure warning system monitors lane markings and alerts the driver if the vehicle drifts out of its lane. This system provides warnings but does not take action to avoid a crash. Learn more

MHEV: Mild Hybrid Electric Vehicle: A mild hybrid electric vehicle (MHEV) has an internal combustion engine supported by a small battery. These vehicles cannot run on electricity alone but use the battery to enhance efficiency and meet emissions standards. Learn more

MPC: Model Predictive Control: MPC is an advanced control algorithm used in autonomous vehicles to predict future driving scenarios and optimize vehicle motion planning and control.

NCA: Nickel Cobalt Aluminum: A type of lithium-ion battery chemistry known for its high-energy density. Learn more

NMC: Nickel Manganese Cobalt: A type of lithium-ion battery chemistry known for its high-power density and long cycle life. Learn more

NiMH: Nickel Metal Hydride: A type of rechargeable battery commonly used in hybrid electric vehicles. Learn more

NEV: New Energy Vehicle: This term refers to vehicles partially or fully powered by electricity, such as battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). Learn more

OCPP: Open Charge Point Protocol: A communication protocol used by electric vehicle charging stations to communicate with central management systems. Learn more

OCV: Open Circuit Voltage: The voltage of a battery when it is not connected to a load or a charging source. Learn more

ODD: Operating Design Domain: In the automotive industry, operational design domains (ODDs) define the operating conditions under which a vehicle’s automated driving systems can be safely engaged. Each ODD is specific to the vehicle model and its features. Learn more

OEDR: Object and Event Detection and Response: Object and Event Detection and Response (OEDR) involves monitoring the driving environment, detecting, recognizing, and classifying objects and events, and executing appropriate responses to them. Learn more

PAEB: Pedestrian Automatic Emergency Braking: A pedestrian automatic emergency braking system uses forward sensors to detect a pedestrian in the vehicle’s path. The system will provide automatic braking if the driver does not act to avoid a crash. Learn more

PEV: Plug-in Electric Vehicle: A plug-in electric vehicle (PEV) is any road vehicle that can use an external source of electricity to charge its onboard rechargeable battery packs, powering an electric motor. PEVs include battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). Learn more

PHEV: Plug-in Hybrid Electric Vehicles: Plug-in Hybrid Electric Vehicles (PHEVs) are hybrids that can be plugged into an external power source. They combine battery-powered electric driving with a traditional internal combustion engine. Learn more

PID: Proportional Integral Derivative: A type of control algorithm used in charging systems to regulate voltage and current. Learn more

PIV: Plug-In Vehicle: This is a general term for any car with a plug socket for charging lithium-ion batteries, including battery electric vehicles and plug-in hybrid-electric vehicles. Learn more

PWS: Pedestrian Warning Systems: The Pedestrian Warning System emits sound when driving below a certain speed or while reversing. This sound alerts pedestrians to the presence of the electric vehicle, which operates quietly. Learn more

RAB: Rear Automatic Braking: Rear automatic braking uses sensors, like parking sensors and the backup camera, to detect objects behind the vehicle. If the system detects a potential collision while in reverse, it automatically applies the brakes to prevent a crash. Learn more

RCTA: Rear Cross-Traffic Assist/Alert: Rear Cross Traffic Alert helps drivers back out of spaces where approaching traffic may not be visible. It monitors two areas behind the vehicle for traffic approaching from either side. Learn more

RCTW: Rear Cross-Traffic Collision Warning: A Rear Cross-Traffic Collision Warning system alerts the driver to vehicles approaching from the left or right while the vehicle is in reverse. Warnings can include icons on the mirrors, audible alerts, or dashboard notifications. Learn more

RFID: Radio-Frequency Identification: RFID technology links a card to an account and is commonly used in electric vehicle charging to conveniently start a charge through tapping. Learn more

RPH: Range Per Hour: Range per Hour (RPH) measures the distance an Electric Vehicle (EV) can travel in one hour on a single charge. It helps compare EV efficiency and aids in planning trips. Learn more

RTK: Real-Time Kinematic Positioning: RTK is a satellite navigation technique used to enhance GNSS accuracy down to centimeter-level, crucial for precise localization in AVs.

SAE Levels: Society of Automotive Engineers Automation Levels: A globally recognized scale (0–5) that defines degrees of vehicle automation, from no automation (Level 0) to full automation (Level 5).

SDV: Software Defined Vehicles: A Software-Defined Vehicle manages its operations, adds functionality, and enables new features primarily or entirely through software. Learn more

SLAM: Simultaneous Localization and Mapping: SLAM is a method used by AVs to build a map of an unknown environment while tracking the vehicle’s location within it using sensors like lidar and cameras.

SOC: State of Charge: The percentage of battery capacity currently available for use. Learn more

SOH: State of Health: A measure of the overall health and performance of a battery. Learn more

TOU: Time of Use Tariffs (Utility Rate): Time of Use tariffs encourage energy usage during off-peak times. Applied to EV charging, the rate is based on the time of day energy is drawn rather than total electricity used. Learn more

TSO: Transmission System Operator: A Transmission System Operator (TSO) is responsible for transporting energy and maintaining the infrastructure for energy distribution. Learn more

TSR: Traffic-Sign Recognition: The Traffic-Sign Recognition (TSR) system provides the driver with information about recently detected speed limits. It uses a front camera to capture road sign data and displays it on the vehicle’s dashboard. Learn more

ULEV: Ultra-Low Emission Vehicle: Ultra-Low Emission Vehicles (ULEVs) emit significantly fewer pollutants compared to traditional vehicles. In Europe, a ULEV emits less than 75g/km of carbon dioxide (CO2) and meets Euro 6 standards for nitrogen oxides (NOx) and particulate matter. Learn more

VPD: Vehicle Performance Data: Vehicle Performance Data includes information collected by a vehicle’s sensors and systems about its operation, performance, and usage. This data can optimize vehicle safety, performance, and maintenance. Learn more

V2B: Vehicle-to-Building: Vehicle-to-Building (V2B) technology allows energy stored in a vehicle’s battery to be used to power a building. It can provide backup energy for homes during power outages. Learn more

V2C: Vehicle-to-Cloud: Vehicle-to-Cloud (V2C) communication enables vehicles to exchange data with the cloud using cellular networks. Learn more

V2D: Vehicle-to-Device: Vehicle-to-Device (V2D) communication enables vehicles to exchange information with smart devices, usually via Bluetooth. Examples include Apple’s CarPlay and Google’s Android Auto, which integrate smartphones with the vehicle’s infotainment system. Learn mo

V2G: Vehicle-to-Grid: Vehicle-to-Grid (V2G) technology allows energy to flow from an electric vehicle’s battery back to the power grid. This technology supports grid stability by balancing energy supply and demand. Learn more

V2H: Vehicle-to-Home: Vehicle-to-Home (V2H) technology enables electric vehicles to transfer energy back to the house. This bidirectional charging process allows the vehicle to serve as a backup energy source. Learn more

V2I: Vehicle-to-Infrastructure: Vehicle-to-Infrastructure (V2I) communication involves bidirectional data exchange between a vehicle and road infrastructure, including traffic lights, cameras, and sensors. It supports intelligent transportation systems. Learn more

V2L: Vehicle-to-Load: Vehicle-to-Load (V2L) technology enables electric appliances to be powered using energy from an EV’s battery. Examples include charging a laptop or running a small appliance. Learn more

V2N: Vehicle-to-Network: Vehicle-to-Network (V2N) communication allows vehicles to use cellular networks to interact with the V2X management system, other vehicles, and road infrastructure. This enables seamless data exchange for smart transportation. Learn more

V2P: Vehicle-to-Pedestrian: Vehicle-to-Pedestrian (V2P) communication establishes a direct connection between a vehicle and pedestrians or other vulnerable road users like cyclists. Signals warn drivers and pedestrians about each other’s presence, enhancing safety. Learn more

V2V: Vehicle-to-Vehicle: Vehicle-to-Vehicle (V2V) communication enables vehicles to continuously exchange information about their status. For example, a car braking suddenly can send a warning to other vehicles nearby, helping prevent collisions. Learn more

V2X: Vehicle-to-Everything: Vehicle-to-Everything (V2X) encompasses multiple communication technologies, such as Vehicle-to-Grid (V2G), Vehicle-to-Home (V2H), Vehicle-to-Building (V2B), and Vehicle-to-Load (V2L). These enable vehicles to interact with their surroundings, improving functionality and energy use. Learn more

VLP: Vehicle Localization and Positioning: Refers to systems that integrate GPS, RTK, lidar, and camera data to determine the precise position of an autonomous vehicle.

VRTC: Vehicle Research and Test Center: A testing facility operated by NHTSA (and others globally) where autonomous vehicle safety, crashworthiness, and compliance are evaluated.

ZEV: Zero Emission Vehicles: Zero Emission Vehicles (ZEVs) emit no tailpipe pollutants. These vehicles are powered by renewable or clean energy sources, contributing to reduced air pollution and environmental sustainability. Learn more

Understanding the terminology behind mobility and automotive technology is vital for industry professionals and enthusiasts alike. As the field continues to evolve, these terms will serve as the foundation for navigating discussions around the future of mobility, safety, and innovation.