By 2034, the Radar Sensor Market is set to surge to USD 56.3 billion, driven by a 17.4% CAGR from its 2025 valuation of USD ...

Radar made its automotive debut in the 1990s as a component in adaptive cruise control applications. Now, companies are exploring 4D imaging radar, which can provide perception, velocity ...

Optimized instruction set for radar, LiDAR, and communications applications. Fast development through familiar C programming in an Eclipse-based IDE along with optimized math libraries and ...

LiDAR technology holds strong long-term potential in the automotive sector, with initial adoption focused on premium vehicles and robotaxis. Its rising popularity is driven by its ability to provide ...

LiDAR is one of the most discussed and deployed 3D imaging techniques for AoT™ (Autonomy of Things) applications which includes autonomous vehicles (AV), Advanced Driver Assistance Systems (ADAS ...

Key players in obstacle detection radar-LiDAR – a disruptive innovation in the automotive industry ‘Application diversity’ measures the number of applications identified for each patent.

About FMCW LiDAR Camera, radar and LiDAR are complementary technologies in enhanced ADAS and autonomous applications. One of LiDAR’s greatest advantages over radar is improved resolution.

Aeva's market capitalization is highly speculative given the current state of the business. Read more on why sentiment is ...

A 3.1 MP option with unique 8:3 wide aspect ratio makes it ideal for wide field-of-view applications such as front view ADAS to meet European New Car Assessment Program (NCAP) 2020 standards.

Velodyne Lidar will display its technology leadership and product breadth in lidar sensors and software at IAA Mobility. Among the Velodyne products showcased are Velarray H800, a solid-state ...

Innovative color-shifting “4D” FMCW Lidar promises roughly double the object-sensing range of next-best autonomous vehicle sensors.