In addition to improved performance from individual sensing technologies, including radar and light detection and ranging ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Sensor fusion is becoming increasingly popular and more complex in automotive designs, integrating multiple types of sensors into a single chip or package and intelligently routing data to wherever it ...

Advanced driver-assistance systems (ADAS) and autonomous-driving technologies rely heavily on sensors, including LiDAR, radar and cameras. Recently, there have been significant advancements in these ...

This article is part of the TechXchanges: Automotive Radar and LiDAR Technology. Two new Vision digital signal processors (DSPs) plus a radar accelerator were developed by Cadence with an eye toward ...

Due to its ability to scan and detect objects in the environment, as well as track their movement, LiDAR technology has great potential in automotive applications. The most relevant applications for ...

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 (IPL) at ...

Sense – analyze – act. This is the principle that advanced driver assistance systems (ADAS) operate on. Modern vehicles rely on a network of sensors to build a more precise, reliable perception of ...

The ADAS System Will Integrate Camera and Radar Fusion, Delivering the Same Level of Quality and Functionality as LiDAR-based Systems for the Chinese Automaker TEL AVIV, Israel, Sept. 26, 2024 ...

You’ll see cameras watching restricted lanes nonstop, catching violations and issuing tickets without a traffic […] ...

The ADAS System Will Integrate Camera and Radar Fusion, Delivering the Same Level of Quality and Functionality as LiDAR-based Systems for the Chinese Automaker In January, Arbe announced that HiRain ...