Redformer: Radar enlightens the darkness of camera perception with transformers
Enhancing the accuracy and reliability of perception systems in automated vehicles is
critical, especially under varying driving conditions. Unfortunately, the challenges of adverse …
critical, especially under varying driving conditions. Unfortunately, the challenges of adverse …
Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion
Sensor fusion is a crucial augmentation technique for improving the accuracy and reliability
of perception sys-tems for automated vehicles under diverse driving conditions. However …
of perception sys-tems for automated vehicles under diverse driving conditions. However …
Deep LiDAR-radar-visual fusion for object detection in urban environments
Robust environmental sensing and accurate object detection are crucial in enabling
autonomous driving in urban environments. To achieve this goal, autonomous mobile …
autonomous driving in urban environments. To achieve this goal, autonomous mobile …
Low-level sensor fusion network for 3d vehicle detection using radar range-azimuth heatmap and monocular image
Robust and accurate object detection on roads with various objects is essential for
automated driving. The radar has been employed in commercial advanced driver assistance …
automated driving. The radar has been employed in commercial advanced driver assistance …
Mvfan: Multi-view feature assisted network for 4d radar object detection
Abstract 4D radar is recognized for its resilience and cost-effectiveness under adverse
weather conditions, thus playing a pivotal role in autonomous driving. While cameras and …
weather conditions, thus playing a pivotal role in autonomous driving. While cameras and …
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 …
Crn: Camera radar net for accurate, robust, efficient 3d perception
Autonomous driving requires an accurate and fast 3D perception system that includes 3D
object detection, tracking, and segmentation. Although recent low-cost camera-based …
object detection, tracking, and segmentation. Although recent low-cost camera-based …
Grif net: Gated region of interest fusion network for robust 3d object detection from radar point cloud and monocular image
Robust and accurate scene representation is essential for advanced driver assistance
systems (ADAS) such as automated driving. The radar and camera are two widely used …
systems (ADAS) such as automated driving. The radar and camera are two widely used …
Fusion point pruning for optimized 2d object detection with radar-camera fusion
L Stäcker, P Heidenreich… - Proceedings of the …, 2022 - openaccess.thecvf.com
Object detection is one of the most important perception tasks for advanced driver assistant
systems and autonomous driving. Due to its complementary features and moderate cost …
systems and autonomous driving. Due to its complementary features and moderate cost …
BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation
H Cai, Z Zhang, Z Zhou, Z Li, W Ding, J Zhao - arXiv preprint arXiv …, 2023 - arxiv.org
Integrating LiDAR and Camera information into Bird's-Eye-View (BEV) has become an
essential topic for 3D object detection in autonomous driving. Existing methods mostly adopt …
essential topic for 3D object detection in autonomous driving. Existing methods mostly adopt …