Object detection is at the core of autonomous driving technology, with the accuracy and stability of its algorithms constantly being improved by AI research teams.

On the brilliant stage of autonomous driving ... detection ranges exceeding 200 meters, and complies with global automotive standards. In the workflow, millimeter wave radar first generates millimeter ...

The automotive industry has seen significant advancements with radar sensors improving vehicle safety and convenience. These sensors are crucial for ADAS and autonomous driving technologies. The ...

Radar-based perception solution for autonomous driving – which has yet to see commercialization by players in the market – is under research & development at the Information Processing Lab ...

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

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 ...

The automotive landscape is evolving, and vehicles are increasingly defined by advanced driver-assistance systems (ADAS) and autonomous driving technologies. Moreover, radar is becoming increasingly ...

Bolstering the safety of self-driving cars with a deep learning-based object detection system Date: December 13, 2022 Source: Incheon National University Summary: Self-driving cars need to ...