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Towards knowledge-driven autonomous driving
X Li, Y Bai, P Cai, L Wen, D Fu, B Zhang… - ar**: A full-stack construction methodology
Y Liu, Y Fu, M Qin, Y Xu, B Cui, K Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The development of intelligent Vehicles (IVs) requires extensive standard datasets for
training, benchmarking, and improvement. Autonomous Navigation and Map** (ANM), as …
training, benchmarking, and improvement. Autonomous Navigation and Map** (ANM), as …
SensorX2car: Sensors-to-car calibration for autonomous driving in road scenarios
G Yan, Z Luo, Z Liu, Y Li - arxiv preprint arxiv:2301.07279, 2023 - arxiv.org
Properly-calibrated sensors are the prerequisite for a dependable autonomous driving
system. However, most prior methods focus on extrinsic calibration between sensors, and …
system. However, most prior methods focus on extrinsic calibration between sensors, and …
Panoptic water surface visual perception for USVs using monocular camera sensor
H Xu, X Zhang, J He, Z Geng, Y Yu… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
In recent years, the significance of unmanned surface vehicles (USVs) has grown
substantially across a wide range of applications. Monocular cameras, as the most common …
substantially across a wide range of applications. Monocular cameras, as the most common …
CoSEC: A coaxial stereo event camera dataset for autonomous driving
Conventional frame camera is the mainstream sensor of the autonomous driving scene
perception, while it is limited in adverse conditions, such as low light. Event camera with …
perception, while it is limited in adverse conditions, such as low light. Event camera with …
FusionCalib: Automatic extrinsic parameters calibration based on road plane reconstruction for roadside integrated radar camera fusion sensors
Calibrating the relative positional posture of the roadside sensor with respect to the road is
crucial for target tracking and sensor fusion. However, most previous studies rely on prior …
crucial for target tracking and sensor fusion. However, most previous studies rely on prior …
Rendering-enhanced automatic image-to-point cloud registration for roadside scenes
Prior point cloud provides 3D environmental context, which enhances the capabilities of
monocular camera in downstream vision tasks, such as 3D object detection, via data fusion …
monocular camera in downstream vision tasks, such as 3D object detection, via data fusion …