Rcooper: A real-world large-scale dataset for roadside cooperative perception
The value of roadside perception which could extend the boundaries of autonomous driving
and traffic management has gradually become more prominent and acknowledged in recent …
and traffic management has gradually become more prominent and acknowledged in recent …
A Survey of Collaborative Perception in Intelligent Vehicles at Intersections
As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …
has made great progress in recent years. In collaborative perception, multiple devices rely …
MonoGAE: Roadside monocular 3D object detection with ground-aware embeddings
Although the majority of recent autonomous driving systems concentrate on develo**
perception methods based on ego-vehicle sensors, there is an overlooked alternative …
perception methods based on ego-vehicle sensors, there is an overlooked alternative …
Cobev: Elevating roadside 3d object detection with depth and height complementarity
Roadside camera-driven 3D object detection is a crucial task in intelligent transportation
systems, which extends the perception range beyond the limitations of vision-centric …
systems, which extends the perception range beyond the limitations of vision-centric …
QUEST: Query stream for practical cooperative perception
Cooperative perception can effectively enhance individual perception performance by
providing additional viewpoint and expanding the sensing field. Existing cooperation …
providing additional viewpoint and expanding the sensing field. Existing cooperation …
Quest: Query stream for vehicle-infrastructure cooperative perception
Cooperative perception can effectively enhance individual perception performance by
providing additional viewpoint and expanding the sensing field. Existing cooperation …
providing additional viewpoint and expanding the sensing field. Existing cooperation …
BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection
Vision-based roadside 3D object detection has attracted rising attention in autonomous
driving domain since it encompasses inherent advantages in reducing blind spots and …
driving domain since it encompasses inherent advantages in reducing blind spots and …
[HTML][HTML] Robust BEV 3D object detection for vehicles with tire blow-out
D Yang, X Fan, W Dong, C Huang, J Li - Sensors, 2024 - mdpi.com
The bird's-eye view (BEV) method, which is a vision-centric representation-based perception
task, is essential and promising for future Autonomous Vehicle perception. It has advantages …
task, is essential and promising for future Autonomous Vehicle perception. It has advantages …
Towards Scenario Generalization for Vision-based Roadside 3D Object Detection
L Yang, X Zhang, J Li, L Wang, C Zhang, L Ju… - arxiv preprint arxiv …, 2024 - arxiv.org
Roadside perception can greatly increase the safety of autonomous vehicles by extending
their perception ability beyond the visual range and addressing blind spots. However …
their perception ability beyond the visual range and addressing blind spots. However …
ATV3D: 3D Object Detection from Attention-based Three-view Representation
In the fields of autonomous driving and robot perception, the majority of methods are
designed for onboard camera object detection, while there are fewer methods specifically …
designed for onboard camera object detection, while there are fewer methods specifically …