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Robustness-aware 3d object detection in autonomous driving: A review and outlook
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …
accurately assessing the state of the surrounding environment, thereby enabling informed …
Sparsedet: a simple and effective framework for fully sparse lidar-based 3D object detection
LiDAR-based sparse 3-D object detection plays a crucial role in autonomous driving
applications due to its computational efficiency advantages. Existing methods either use the …
applications due to its computational efficiency advantages. Existing methods either use the …
RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection
In radar-camera 3D object detection, the radar point clouds are sparse and noisy, which
causes difficulties in fusing camera and radar modalities. To solve this, we introduce a novel …
causes difficulties in fusing camera and radar modalities. To solve this, we introduce a novel …
CoreNet: Conflict Resolution Network for point-pixel misalignment and sub-task suppression of 3D LiDAR-camera object detection
Fusing multi-modality inputs from different sensors is an effective way to improve the
performance of 3D object detection. However, current methods overlook two important …
performance of 3D object detection. However, current methods overlook two important …
V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
Modern autonomous vehicle perception systems often struggle with occlusions and limited
perception range. Previous studies have demonstrated the effectiveness of cooperative …
perception range. Previous studies have demonstrated the effectiveness of cooperative …