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 ...

Real-world vision systems rely on 3D object detection, which is critical in developing perception capabilities for AVs and mobile autonomous robots. But what’s the best approach ...

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 ...

Although the map that the LiDAR system generates is 3D, many autonomous driving systems convert it into 2D before using it to navigate. The reason is simple: 2D maps require a lot less computing ...

Researchers have developed an autonomous electric vehicle prototype designed to navigate challenging urban roads. The vehicle ...

Real 'autonomous' vehicles rely on a diverse array of sensors capable of 'superhuman' object detection. It’s not perfect.

By centrally processing raw 4D imaging radar data and fusing it at a deep level with the vehicle’s other sensor information, Ambarella’s AI software-defined architecture is capable of ...

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 ...

GM has filed a patent for a new system capable of detecting violence in the cabin of a vehicle. The new GM patent application has been assigned patent number US 2023/0419690 with the United States ...

The global automotive AI market is projected to grow from USD 18.83 billion in 2025 to USD 38.45 billion by 2030, at a CAGR ...