Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...
Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...
The laser sensors currently used to detect 3D objects in the paths of autonomous cars are bulky, ugly, expensive, energy-inefficient—and highly accurate. These Light Detection and Ranging (LiDAR) ...
A new technical paper titled “Road Boundary Detection Using 4D mmWave Radar for Autonomous Driving” was published by Stanford University. “Detecting road boundaries, the static physical edges of the ...
A new category of sensing technology transforms mobile robot vision from 2D to 3D, improves safety performance and provides 50-80% cost savings compared to traditional, LiDAR-based systems and sensor ...
As I highlighted in my last article, two decades after the DARPA Grand Challenge, the autonomous vehicle (AV) industry is still waiting for breakthroughs—particularly in addressing the “long tail ...
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