Autonomous Vehicle Expert Witnesses

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Autonomous vehicle expert witness candidates typically have extensive experience and knowledge in automotive engineering, autonomous driving systems, electrical engineering, mechanical engineering, and/or vehicle manufacturing. An automotive engineer specializing in driverless cars may also have a background in artificial intelligence, sensor technology, or safety. Cahn Litigation Services is frequently called upon by law firms to locate an expert witness that can support issues involving autonomous vehicle matters.

Self driving cars are vehicles that can sense their environment and move safely with little to no human input. An autonomous vehicle relies on sensor technology to perceive their surroundings via such technology as radar, lidar, sonar, GPS, and odometry. Advanced control systems interpret information to identify navigation paths, obstacles and signage. The International Society of Automotive Engineers categorizes five levels of vehicle automation:

1. Driver assistance (example: adaptive cruise control)
2. Partial automation (example: Tesla’s autopilot)
3. Conditional automation (example: a human driver as backup)
4. High automation (example: Google/Waymo test cars)
5. Full automation (example: no steering wheel)

An autonomous vehicle expert witness could provide expertise in intellectual property matters — a patent litigation in federal court or a trade secret dispute. It could be a patent infringement case in the District Court, or a patent case or proceeding in the International Trade Commission (ITC). An automotive expert in driverless vehicles might provide testimony in matters such as a product liability case, accident investigation, or a personal injury case.

Litigation support by an automated vehicle expert witness could include an expert report, forensic engineering, expert opinion, accident reconstruction, and expert testimony at a trial. In a high-profile case, or litigation involving a significant financial stake, a law firm may request a technical expert with prior expert witness experience. It is essential that an expert witness possess the ability to provide expert testimony in such a manner that a jury and judge can understand the factual evidence.

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Autonomous Vehicle Expert Witness - Representative Bios

Please Note: All Cahn Litigation expert witness searches are customized to attorneys' precise specifications and preferences. Attorneys are encouraged to discuss search parameters with a Cahn search specialist.

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The below expert witness bios represent a small fraction of those Autonomous Vehicle experts known by Cahn Litigation Services. These bios are provided to give lawyers a sense of the Autonomous Vehicle landscape.

• Expert Witness #225624

  This expert has worked with MEMS in on-board cameras in autonomous self-driving vehicle sensors, automotive convertible top sensors, automotive frontal crash sensors, side impact detection sensors and more. This expert managed an R&D group for the development and testing of accelerometers, pressure sensors and other micromachined devices. This expert invented and patented a digital crash detection algorithm taking data from MEMS accelerometers. This expert has strong experience as an expert witness, having served in over 60 cases, providing testimony in a dozen depositions and testifying at trial four times.

  
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• Expert Witness #250652

  This expert is an Associate at a University, and a Co-PI in the National Science Foundation funded National Center for Airborne Laser Mapping. This expert was formerly the Vice President of Engineering for a LIDAR remote sensing company. This expert has been active in the design, development and operation of kinematic remote sensing systems for many years. This expert regularly consults with a LiDAR unit used in almost all autonomous vehicle testing. This expert holds a B.Sc. and Ph.D. in Geomatics Engineering, and is a registered Professional Engineer.

  
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• Expert Witness #236450

  This robotics expert holds a PhD and has over 20 years of experience researching, publishing, and teaching in LIDAR, computer vision, computational vision, robotics, autonomous systems, and agricultural robotics. This expert has held senior leadership roles for major robotics conferences, including ICRA and IROS, and has received prominent professional awards for service and work in robotics.

  This expert has published and supervised research involving LiDAR data for autonomous vehicle applications, weed detection and classification in high-altitude aerial images for robot-based precision agriculture, nitrogen-deficiency detection in corn fields using high-resolution RGB imagery, 3D model processing for high-throughput phenotype extraction, machine learning and computer vision for precision agriculture, plant localization and phenotyping in dense 3D point clouds, and agricultural field segmentation.

  This expert has taught intelligent robotic systems, computational vision, and robotics for over 20 years, including coursework involving methods similar to those used in autonomous and agricultural robotics systems. This expert has consulted for technology companies on robotics, autonomous systems, and agricultural robotics, including work involving weed-detection software and precision-agriculture applications.

  This expert has worked with companies in the agricultural robotics domain as a consultant and has licensed patent technology in the area to companies. This expert has led major robotics funding initiatives, including state-level robotics programs in which agricultural robotics was a key growth area, and has served as director of a robotics institute.

  This expert has been involved in a prominent robotics and automation professional society for several decades, is an IEEE Fellow in Robotics, and has held senior conference-leadership roles. This expert has also received prominent robotics service awards and has worked on multi-million-dollar contracts from major government research and security agencies to develop complex autonomous robots.

  This expert holds over 5 patents, including patents involving autonomous robots and agricultural robotics, several of which have been licensed to companies. This expert can review production code and evaluate the performance of deployed algorithms associated with autonomous robots and agricultural robotics.

  This expert has experience as an expert witness and litigation consultant.

  
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• Expert Witness #237264

  This robotic navigation expert holds a Ph.D. and is a professor in an electrical and computer engineering department at a technical university, where this expert conducts research and teaches in navigation, communications, and computer system design. This expert supervises a university research center focused on advanced integrated radio navigation and is developing a public safety integration center focused on integrating communications, navigation, and information technologies for public safety applications.

  This expert's research focuses on the development, testing, and evaluation of GPS and GPS-like navigation systems and projects for both civilian and military applications. Before joining academia, this expert spent over 10 years at a major technology and defense company working on embedded computers for guidance, communications, and data processing systems in both spaceborne and terrestrial applications.

  This expert has analyzed autonomous and driver-assistance vehicle systems, including vehicle systems in crash analyses involving serious injury and fatalities. This expert is familiar with analyzing video data and event data recorder data, software design, validation and verification of software systems, proposed industry standards for safety-critical automotive software and hardware, and driver assistance systems.

  This expert has been involved in the development of autonomous robotic vehicles for use on land, in the air, and at sea. This expert has served as an expert witness in many matters over more than 25 years, including testimony at deposition and trial, and is an experienced litigation consultant.

  
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• Expert Witness #265317

  This sensor-based automation expert witness holds a Ph.D. in Mechanical Engineering and is a distinguished professor of mechanical engineering at a well-regarded university, with over 20 years of experience in vehicle dynamics, control, and sensor-based automation for ground vehicles. This expert holds endowed professorships and has led a nationally recognized research program in automated and intelligent transportation systems. The Ph.D. was earned from a prestigious university, with specialization in automatic control and mechatronic systems, and this expert has received multiple national awards recognizing contributions to vehicle automation research and engineering education.

  This expert has extensive expertise in the integration of camera-based sensing with GPS, inertial sensors, LiDAR, radar, and onboard vehicle sensors to support automated driving and advanced driver assistance systems. Research areas include vision-based lane detection, object tracking, and vision-aided navigation, with a strong emphasis on sensor fusion and real-time implementation on instrumented vehicles operating in challenging environments. This expert has supervised numerous graduate research projects involving computer vision for autonomous vehicles, including robust lane detection using camera and IMU data, vision-assisted GPS/INS navigation, and object registration and tracking for automated platforms. The work consistently combines theoretical development with experimental validation on full-scale vehicle systems.

  This expert is an experienced expert witness and litigation consultant.

  
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• Expert Witness #302933

  This acoustic engineering expert has worked with a team on numerous noise measurement and mitigation projects, including a noise study for an autonomous vehicle charging station.

  
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• Expert Witness #305319

  This accident reconstruction expert leads a transportation safety consulting firm specializing in crash investigation, traffic safety, and litigation support, and has served as an independent expert for both plaintiff and defense counsel in civil and criminal motor vehicle cases. With over 25 years in law enforcement, including over 20 years with a state law enforcement agency, this expert investigated and supervised thousands of crash cases. This expert held key leadership roles, including command responsibility for major state toll-road operations and leadership of a fatal accident investigation unit, overseeing large-scale crash investigations and statewide traffic safety initiatives. This expert's background includes expert witness work involving Event Data Recorder (EDR) extraction, Tesla Autopilot telemetry analysis, and onboard digital evidence, including camera footage. This expert also teaches crash investigation and traffic safety at well-regarded universities, further demonstrating technical expertise and industry leadership.

  This expert was trained in crash data retrieval systems decades ago and has used the technology while continuing related training through multiple courses. This expert has over 25 years of experience in event data recorder use and analysis, along with training in video analysis and Advanced Driver Assistance Systems. This expert was also a member of a state advanced autonomous vehicle task force that studied advanced autonomous vehicles and made recommendations on laws, rules, and regulations for safe integration of advanced autonomous vehicles on public highways, streets, and roads. This expert does not have specific experience in extraction and analysis of Tesla Event Data Recorder (EDR) and Autopilot telemetry data, but has reviewed EDR reports from Tesla vehicles. This expert does not have specific experience with Tesla SD card camera footage extraction, but has been trained in video analysis and Advanced Driver Assistance Systems.

  This expert is an experienced expert witness and litigation consultant.

  
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• Expert Witness #305383

  This autonomous vehicle technology expert holds a Doctorate in Civil and Environmental Transportation Engineering and serves in a senior leadership role as a principal collision reconstruction engineer at a forensic consulting and investigation services firm. This expert has completed continuing education courses and earned certifications in Event Data Recorder Use in Traffic Crash Reconstruction, Berla iVe Vehicle System Forensics (Infotainment), PC-Crash, and Laser Scanning.

  This expert has served as an adjunct professor and lead researcher at a university-based vehicle instrumentation and driver simulation laboratory. Along with other experts and consultants at the firm, this expert provides CE and CLE-accredited presentations covering a range of topics, including autonomous vehicles, collision reconstruction, and innovative court-accepted demonstratives.

  This expert is an experienced expert witness and litigation consultant.

  
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• Expert Witness #305559

  This autonomous vehicle/ADAS expert is a distinguished leader in automotive safety technology, specializing in the verification, validation, and forensic analysis of autonomous vehicle systems. With over 30 years of experience, this expert is recognized as a pioneer in the development of crash-sensing algorithms and advanced signal processing, foundational technologies that govern how modern vehicles detect and respond to impact.

  This expert focuses on high-fidelity, physics-based sensor simulation. This expertise allows complex accident scenarios to be reconstructed within virtual environments, providing critical insights into how automated systems perceive, or fail to perceive, their surroundings. The work is instrumental in bridging the gap between theoretical software performance and real-world safety reliability.

  This expert has expertise in airbag sensing, including matters involving failures to deploy airbags when required. This expert has handled a number of cases involving autonomous vehicle and advanced driver-assistance system algorithms, sensors, and how those systems were used or failed to work properly. This expert has also worked on driver monitoring systems and is familiar with operational design domain concepts, failure modes, ISO 26262, functional safety requirements, and the V-cycle.

  This expert is currently retained in dozens of active cases nationwide involving autonomous vehicle and advanced driver-assistance systems, as well as additional cases involving airbag crash-sensing algorithms. This expert has worked on over 125 total cases since becoming a legal expert a number of years ago. In much of this case work, this expert provides simulations of events with properly functioning advanced driver-assistance systems.

  This expert is an experienced expert witness and litigation consultant.

  
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