Multi-modal 3d object detection in autonomous driving: A survey and taxonomy
Autonomous vehicles require constant environmental perception to obtain the distribution of
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …
Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
Milestones in autonomous driving and intelligent vehicles: Survey of surveys
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
[HTML][HTML] Compact optical convolution processing unit based on multimode interference
Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …
the limitations of electrical frequency and memory access time in massive data processing …
Hierarchical interpretable imitation learning for end-to-end autonomous driving
End-to-end autonomous driving provides a simple and efficient framework for autonomous
driving systems, which can directly obtain control commands from raw perception data …
driving systems, which can directly obtain control commands from raw perception data …
Vpfnet: Improving 3d object detection with virtual point based lidar and stereo data fusion
It has been well recognized that fusing the complementary information from depth-aware
LiDAR point clouds and semantic-rich stereo images would benefit 3D object detection …
LiDAR point clouds and semantic-rich stereo images would benefit 3D object detection …
Milestones in autonomous driving and intelligent vehicles—part 1: Control, computing system design, communication, hd map, testing, and human behaviors
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
Multi-modal 3d object detection in autonomous driving: a survey
The past decade has witnessed the rapid development of autonomous driving systems.
However, it remains a daunting task to achieve full autonomy, especially when it comes to …
However, it remains a daunting task to achieve full autonomy, especially when it comes to …
Disparity-based multiscale fusion network for transportation detection
J Chen, Q Wang, W Peng, H Xu, X Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The transportation detection of long-distance small objects has low accuracy. In this work,
we propose DMF, which is based on disparity depths. We map different disparity regions to …
we propose DMF, which is based on disparity depths. We map different disparity regions to …
[HTML][HTML] Cooperative perception technology of autonomous driving in the internet of vehicles environment: A review
G Cui, W Zhang, Y Xiao, L Yao, Z Fang - Sensors, 2022 - mdpi.com
Cooperative perception, as a critical technology of intelligent connected vehicles, aims to
use wireless communication technology to interact and fuse environmental information …
use wireless communication technology to interact and fuse environmental information …