MKD-Cooper: Cooperative 3D Object Detection for Autonomous Driving via Multi-teacher Knowledge Distillation
Z Li, H Liang, H Wang, M Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurately detecting objects in 3D point clouds is critical for achieving precise scene
understanding in autonomous driving systems. Cooperative perception, through information …
understanding in autonomous driving systems. Cooperative perception, through information …
Vinet: Lightweight, scalable, and heterogeneous cooperative perception for 3d object detection
Utilizing the latest advances in Artificial Intelligence (AI), the computer vision community is
now witnessing an unprecedented evolution in all kinds of perception tasks, particularly in …
now witnessing an unprecedented evolution in all kinds of perception tasks, particularly in …
Centercoop: Center-based feature aggregation for communication-efficient vehicle-infrastructure cooperative 3d object detection
L Zhou, Z Gan, J Fan - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
Vehicle-Infrastructure Cooperative (VIC) 3D object detection is a challenging task for
balancing communication bandwidth and detection performance. Intermediate fusion is …
balancing communication bandwidth and detection performance. Intermediate fusion is …
Flow-based feature fusion for vehicle-infrastructure cooperative 3d object detection
Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly
enhance autonomous driving perception abilities. However, the uncertain temporal …
enhance autonomous driving perception abilities. However, the uncertain temporal …
[HTML][HTML] Enhancing 3D object detection through multi-modal fusion for cooperative perception
B Xia, J Zhou, F Kong, Y You, J Yang, L Lin - Alexandria Engineering …, 2024 - Elsevier
Fueled by substantial advancements in deep learning, the domain of autonomous driving is
swiftly advancing towards more robust and effective intelligent systems. One of the critical …
swiftly advancing towards more robust and effective intelligent systems. One of the critical …
Collaborative 3d object detection for automatic vehicle systems via learnable communications
Accurate detection of objects in 3D point clouds is a key problem in autonomous driving
systems. Collaborative perception can incorporate information from spatially diverse sensors …
systems. Collaborative perception can incorporate information from spatially diverse sensors …
Collaborative 3d object detection for autonomous vehicles via learnable communications
3D object detection from LiDAR point cloud is a challenging task in autonomous driving
systems. Collaborative perception can incorporate information from spatially diverse sensors …
systems. Collaborative perception can incorporate information from spatially diverse sensors …
Di-v2x: Learning domain-invariant representation for vehicle-infrastructure collaborative 3d object detection
Abstract Vehicle-to-Everything (V2X) collaborative perception has recently gained significant
attention due to its capability to enhance scene understanding by integrating information …
attention due to its capability to enhance scene understanding by integrating information …
SOGDet: Semantic-occupancy guided multi-view 3D object detection
In the field of autonomous driving, accurate and comprehensive perception of the 3D
environment is crucial. Bird's Eye View (BEV) based methods have emerged as a promising …
environment is crucial. Bird's Eye View (BEV) based methods have emerged as a promising …
Poat-net: Parallel offset-attention assisted transformer for 3d object detection for autonomous driving
J Wang, X Lin, H Yu - IEEE Access, 2021 - ieeexplore.ieee.org
3D object detection is playing a key role in the perception process of autonomous driving
and industrial robots automation. Inherent characteristics of point cloud raise an enormous …
and industrial robots automation. Inherent characteristics of point cloud raise an enormous …