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 ...

Three-dimensional object detection is crucial for autonomous vehicles. It utilizes point cloud data generated by LiDAR 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 ...

New research paper titled “Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving” from researchers at Uber. “We present an end-to-end method for object ...

Apple researchers are pushing forward with efforts to bring autonomous vehicle systems to public roads, and last week published an academic paper outlining a method of detecting objects in 3D point ...

WEST LAFAYETTE, Ind. — A self-driving car has a hard time recognizing the difference between a toddler and a brown bag that suddenly appears into view because of limitations in how it senses objects ...

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.