Functions ranging from parking assistance to full autonomous driving require multicore processors powered by buck converters ...

Advanced Driver Assistance Systems (ADAS) are gaining popularity as car manufacturers start offering them in reasonably ...

Volvo has taken to a cutting-edge technique for reconstructing scenes in 3D virtual worlds to help its cars' safety software ...

ADAS applications automate elements of the driving experience to increase safety and avoid accidents. Examples of safety-critical ADAS applications include lane departure warnings, lane keeping assist ...

The study aims to assess the real-world effectiveness of ADAS in preventing crashes. So, it isn't focused solely on ACC, but rather 28 examples that can be part of ADAS. It categorizes individual ...

Democratizing safety and convenience features in mass-manufactured models provides volume efficiencies in the supply chain, and enables costs reduction and OTA upgrades.

ADAS relies heavily on deep learning to analyze and interpret large amounts of data obtained from a wide range of sensors. Cameras, LiDAR (Light Detection and Ranging), radar, and ultrasonic sensors ...

Airbags, traction control, and other passive safety systems are examples of active safety features, whereas ADAS technology is an example of active safety features. The third-generation Honda ...

Increasing integration of AI, LiDAR, and sensor technologies enhances system performance. Growth in autonomous and electric vehicles (EVs) accelerates demand for ADAS. North America, Europe, and ...