3D object detection for autonomous driving: A comprehensive survey
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
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 …
Infrastructure-based object detection and tracking for cooperative driving automation: A survey
Object detection and tracking play a fundamental role in enabling Cooperative Driving
Automation (CDA), which is regarded as the revolutionary solution to addressing safety …
Automation (CDA), which is regarded as the revolutionary solution to addressing safety …
Pillargrid: Deep learning-based cooperative perception for 3d object detection from onboard-roadside lidar
3D object detection plays a fundamental role in enabling driving automation, which is
regarded as a significant leap forward for contemporary transportation systems from the …
regarded as a significant leap forward for contemporary transportation systems from the …
Multi-modality 3D object detection in autonomous driving: A review
Autonomous driving perception has made significant strides in recent years, but accurately
sensing the environment using a single sensor remains a daunting task. This review offers a …
sensing the environment using a single sensor remains a daunting task. This review offers a …
Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms
Abstract 3D Semantic segmentation is a key element for a variety of applications in robotics
and autonomous vehicles. For such applications, 3D data are usually acquired by LiDAR …
and autonomous vehicles. For such applications, 3D data are usually acquired by LiDAR …
A survey and framework of cooperative perception: From heterogeneous singleton to hierarchical cooperation
Perceiving the environment is one of the most fundamental keys to enabling Cooperative
Driving Automation, which is regarded as the revolutionary solution to addressing the safety …
Driving Automation, which is regarded as the revolutionary solution to addressing the safety …
RI-Fusion: 3D object detection using enhanced point features with range-image fusion for autonomous driving
The 3D object detection is becoming indispensable for environmental perception in
autonomous driving. Light detection and ranging (LiDAR) point clouds often fail to …
autonomous driving. Light detection and ranging (LiDAR) point clouds often fail to …
An attention mechanism based avod network for 3d vehicle detection
With the continuous advancement of autonomous driving technology, 3D vehicle detection
has become of widespread interest. The traditional aggregate view object detection (AVOD) …
has become of widespread interest. The traditional aggregate view object detection (AVOD) …
Tinypillarnet: Tiny pillar-based network for 3d point cloud object detection at edge
Y Li, Y Zhang, R Lai - … Transactions on Circuits and Systems for …, 2023 - ieeexplore.ieee.org
Limited by huge computational cost, high inference latency and large memory consumption,
existing 3D point cloud object detection methods are hard to be deployed on Internet of …
existing 3D point cloud object detection methods are hard to be deployed on Internet of …