Autonomous driving systems demand robust, real-time perception under all environmental conditions—but traditional deep learning models struggle with the high computational…
3D Object Detection
FSD V2: High-Performance, Fully Sparse 3D Object Detection for Autonomous Systems 868
For engineers and technical decision-makers building perception stacks in autonomous driving, robotics, or 3D scene understanding, accurately detecting objects from…
BEVFusion: Unified Bird’s-Eye View Fusion for Accurate, Efficient Multi-Sensor Perception in Autonomous Driving 2943
Building reliable perception systems for autonomous driving demands more than just collecting data from cameras and LiDARs—it requires intelligently fusing…