See us at the 2018 Annual CLM Conference

FET will be at the Autonomous Vehicle session on March 15 at 10:10 am. Various topics will be covered as well as discussing the implications a shift towards autonomous vehicles has on data collection and evidence preservation.

Even with advanced collision avoidance systems, real-world crashes are inevitable. Collisions will occur while humans share the road with autonomous vehicles, and even in the absence of humans, machines can fail. When a crash occurs, how we assess the situation, gather information, and collect evidence is critically important. How we interpret and communicate this critical information to others is equally important. What data is available from the vehicle and how do we collect it? What physical evidence is available and how do we collect it? Many traditional methods of evidence preservation are too limited or not applicable. The latest and most sophisticated technology and highly skilled and trained experts will be required to capture the critical evidence. This will be accomplished by employing tools such as drone aerial photography and videography, vehicle event data interpretation and analysis, 3D laser scans of sites and vehicles, and scientific animations. These tools must be utilized by highly qualified and experienced teams of engineers, accident reconstructionists, human factors experts, attorneys, and risk managers who can clearly communicate the findings and results to stakeholders.

-Vehicles with automated features are currently available in the United States.
-Automated vehicles can store collision-related data on the vehicle or remotely.
-Some vehicle automation features and safety systems are not currently accessible through existing forensic data collection tools.
Check out the link here to see the other exciting sessions held at the conference this year.