Jian Liu

Triple-attention enhanced and RepViT-driven LiDAR 3D object detection for complex traffic scenarios

A novel 3D object detection algorithm based on the PointPillars framework based on a triple attention mechanism to enhance target features and suppress background noise is proposed and a multi-scale dual detection head is developed that performs predictions on feature maps of different resolutions, thereby improving the recall rate in complex scenarios.