MicroVision is positioning its latest solid-state lidar technology as an enabler of improved industrial site safety — from ...

Tesla stock was down 2.6% in early trading at $439.75. Nvidia shares were up 1.1% at $190.23. Shares of lidar maker Aeva ...

Driver-assist technology has rapidly evolved over the past decade, significantly enhancing vehicle safety and convenience. Central to these advancements are lidar and radar systems, which provide the ...

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 ...

As vehicles evolve toward software-defined architectures and complex ADAS, the industry is turning to real-time sensor processing, safety-critical intelligence, and physical AI to bridge perception ...

Self-driving vehicles may take a long time to hit the road in large numbers. The sensors driving much of their progress, however, are starting to go mainstream. Lidar technology is trickling into ...

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 ...

An exclusive look inside the facility turning Jaguar EVs into robotaxis with the AI-driven fleet’s custom computing system, cameras, lidar and radar. Soon, tens of thousands of robotaxis will be ...

Radar, a technology invented more than a century ago and first widely used during World War II, could soon improve the performance of automated driving systems. While technology companies often ...

The superior sensing capabilty of lidar over camera and radar enables the technology to improve driver-assist systems, and is generally viewed as crucial for self-driving cars. Now it appears General ...

Waymo's robotaxis are equipped with five lidars, six radar sensors, and 29 cameras. Waymo says lidar and radar help the robotaxi detect pedestrians before cameras can. The company showed how sensors ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...