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 …
BEV perception for autonomous driving: State of the art and future perspectives
The remarkable performance of Bird's Eye View (BEV) in perception tasks has led to its
gradual emergence as a focal point of attention in both industry and academia …
gradual emergence as a focal point of attention in both industry and academia …
Graphbev: Towards robust bev feature alignment for multi-modal 3d object detection
Integrating LiDAR and camera information into Bird's-Eye-View (BEV) representation has
emerged as a crucial aspect of 3D object detection in autonomous driving. However …
emerged as a crucial aspect of 3D object detection in autonomous driving. However …
Graphalign: Enhancing accurate feature alignment by graph matching for multi-modal 3d object detection
LiDAR and cameras are complementary sensors for 3D object detection in autonomous
driving. However, it is challenging to explore the unnatural interaction between point clouds …
driving. However, it is challenging to explore the unnatural interaction between point clouds …
Tumtraf v2x cooperative perception dataset
Cooperative perception offers several benefits for enhancing the capabilities of autonomous
vehicles and improving road safety. Using roadside sensors in addition to onboard sensors …
vehicles and improving road safety. Using roadside sensors in addition to onboard sensors …
Accidentgpt: Accident analysis and prevention from v2x environmental perception with multi-modal large model
Traffic accidents, being a significant contributor to both human casualties and property
damage, have long been a focal point of research for many scholars in the field of traffic …
damage, have long been a focal point of research for many scholars in the field of traffic …