Transformer Architectures Achieve Robustness Via Multimodal Fusion For Automotive Systems

Sensor fusion in action: How cameras and LiDAR integrate with radar for safer driving

By Yuichi Motohashi. Dep. Director / Global Segment Lead, Automotive Display, Camera, LiDAR & SerDes, GlobalFoundries   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 their surroundings. Sensor fusion combines these inputs – from radar, camera, LiDAR, and ultrasound – with artificial intelligence a…

Transformer Architectures Achieve Robustness Via Multimodal Fusion For Automotive Systems

Researchers have developed a new artificial intelligence system for self-driving cars that uses multiple independent sensors and a shared data space to maintain consistent scene understanding even if one sensor fails, improving safety and reliability.

The sensor suite for autonomous vehicles: LiDAR, radar, cameras and sensor fusion

How perception technologies work together to enable machine autonomy Autonomous vehicles are often described in terms of intelligence, decision-making, or artificial intelligence. In practice, however, autonomy rises or falls on a more fundamental capability: perception. A vehicle that cannot reliably perceive its environment cannot make safe decisions, regardless of how advanced its planning software may […]