A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems , 2023; 24 (11): 13078 DOI: 10.1109/TITS.2022.3210490 ...

Three-dimensional object detection is crucial for autonomous vehicles. It utilizes point cloud data generated by LiDAR to help autonomous vehicles identify surrounding objects. This technology is ...

Partnership with Meta creates new vision technique could enable smart cars to “see through traffic”. Shadows analyzed to model 3D scenes including objects blocked from view. Researchers from MIT and ...

And we have to reason about that terrain right in front of us. And sometimes a little bit farther in front of us, there’s a lot of uncertainty because we’re occluded from other objects in the ...

3D object detection (3DOD) is central to real-world vision systems and a critical component in the development of perception capabilities for autonomous vehicles (AVs) and mobile autonomous robots.

For example, if the autonomous vehicle is on course to pass a parked pickup truck, the model would compute the probability that some objects – say a bicycle or a car, or even a few pedestrians ...

TuSimple’s patented method for autonomous vehicles involves classifying and prioritizing objects around the vehicle to optimize computational resources. The system uses sensor data and location ...

In this situation, the LiDAR system communicates the false hazard to the autonomous vehicle’s computer, triggering an unsafe behavior such as emergency braking. “This chosen-pattern injection scenario ...

Autonomous vehicles keep crashing into things, even though ADAS technology promises to make driving safer because machines can think and react faster than human drivers. Humans rely on seeing and ...