Generic object detection and tracking are fundamental and challenging tasks in computer vision. For 2D object detection, IMOU proposes an algorithm framework upon structural re-parameterization and ...

Self-driving cars need to implement efficient, effective, and accurate detection systems to provide a safe and reliable experience to its users. To this end, an international research team has now ...

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

With a 360° field of view and up to 16 evaluation fields, Quanergy’s M1 Edge PoE LiDAR sensor offers smart awareness for object detection and alerting. The 2D sensor is capable of detecting objects at ...

Valeo has launched WoodScape*, a surround view fisheye camera open-source dataset, with the aim of ‘taking research in computer vision for automated driving and parking to the next level’. WoodScape ...

Self-driving cars, or autonomous vehicles, have long been earmarked as the next generation mode of transport. To enable the autonomous navigation of such vehicles in different environments, many ...

Autonomous vehicles hold the promise of tackling traffic congestion, enhancing traffic flow through vehicle-to-vehicle communication, and revolutionizing the travel experience by offering comfortable ...