Annotation automation fails in safety-critical edge cases where human judgment is the only reliable signal While autonomous vehicle programs have matured through standardized sensor configurations and ...

Adrian Macneil has a solid understanding of this space. As an executive at the self-driving startup Cruise, he built the ...

TAMPA, Fla. (BLOOM) – Before the next generation of self-driving cars hits the road, it’s already logging millions of miles, virtually. Inside labs and data centers, autonomous vehicles are learning ...

Building the “brain” that guides a self-driving car or other autonomous vehicle is challenging enough. Ensuring this digital pilot remains reliable when moving from clean computer simulations to the ...

To anyone living in a city where autonomous vehicles operate, it would seem they need a lot of practice. Robotaxis travel millions of miles a year on public roads in an effort to gather data from ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Within these simulators, TRAVL researchers have developed a series of immersive virtual environments that allow driving participants to engage with a wide range of experimental driving scenarios. In ...

LeddarTech Holdings Inc. has announced the launch of LeddarSim™, a cutting-edge simulation platform designed to enhance the development and testing of advanced driver assistance systems (ADAS) and ...