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 ...
What is the optimal approach for 3D object detection? How and why the datasets and metrics generated by academia may not be the best tools for developing real-world applications such as 3DOD. 3D ...
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) ...
Rivian's Autonomy & AI Day revealed a new autonomous driving experience with a new AI chip and new sensors including a 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 ...
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 ...
Wayve co-founder and CEO Alex Kendall sees promise in bringing his autonomous vehicle startup’s tech to market. That is, if Wayve sticks to its strategy of ensuring its automated driving software is ...
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