3D object detection for autonomous driving: A comprehensive survey

J Mao, S Shi, X Wang, H Li - International Journal of Computer Vision, 2023 - Springer
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 …

Robustness-aware 3d object detection in autonomous driving: A review and outlook

Z Song, L Liu, F Jia, Y Luo, C Jia… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

Infrastructure-based object detection and tracking for cooperative driving automation: A survey

Z Bai, G Wu, X Qi, Y Liu, K Oguchi… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Object detection and tracking play a fundamental role in enabling Cooperative Driving
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

Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
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 …

Multi-modality 3D object detection in autonomous driving: A review

Y Tang, H He, Y Wang, Z Mao, H Wang - Neurocomputing, 2023 - Elsevier
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 …

Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms

V Vanian, G Zamanakos, I Pratikakis - Computers & Graphics, 2022 - Elsevier
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 …

A survey and framework of cooperative perception: From heterogeneous singleton to hierarchical cooperation

Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
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 …

RI-Fusion: 3D object detection using enhanced point features with range-image fusion for autonomous driving

X Zhang, L Wang, G Zhang, T Lan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The 3D object detection is becoming indispensable for environmental perception in
autonomous driving. Light detection and ranging (LiDAR) point clouds often fail to …

基于YOLO 的自动驾驶目标检测研究综述.

茅智慧, 朱佳利, 吴鑫, 李君 - Journal of Computer …, 2022 - search.ebscohost.com
自动驾驶是人工智能发展领域的一个重要方向, 拥有良好的发展前景, 而实时准确的目标检测与
识别是保证自动驾驶汽车安全稳定运行的基础与关键. 回顾自动驾驶和目标检测技术的发展历程 …

An attention mechanism based avod network for 3d vehicle detection

D Yuan, H Zhang, X Shu, Q Liu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the continuous advancement of autonomous driving technology, 3D vehicle detection
has become of widespread interest. The traditional aggregate view object detection (AVOD) …