Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Nie Yiming"'
Autor:
Min, Chen, Si, Shubin, Wang, Xu, Xue, Hanzhang, Jiang, Weizhong, Liu, Yang, Wang, Juan, Zhu, Qingtian, Zhu, Qi, Luo, Lun, Kong, Fanjie, Miao, Jinyu, Cai, Xudong, An, Shuai, Li, Wei, Mei, Jilin, Sun, Tong, Zhai, Heng, Liu, Qifeng, Zhao, Fangzhou, Chen, Liang, Wang, Shuai, Shang, Erke, Shang, Linzhi, Zhao, Kunlong, Li, Fuyang, Fu, Hao, Jin, Lei, Zhao, Jian, Mao, Fangyuan, Xiao, Zhipeng, Li, Chengyang, Dai, Bin, Zhao, Dawei, Xiao, Liang, Nie, Yiming, Hu, Yu, Li, Xuelong
Research on autonomous driving in unstructured outdoor environments is less advanced than in structured urban settings due to challenges like environmental diversities and scene complexity. These environments-such as rural areas and rugged terrains-p
Externí odkaz:
http://arxiv.org/abs/2410.07701
Autor:
Min, Chen, Zhao, Dawei, Xiao, Liang, Zhao, Jian, Xu, Xinli, Zhu, Zheng, Jin, Lei, Li, Jianshu, Guo, Yulan, Xing, Junliang, Jing, Liping, Nie, Yiming, Dai, Bin
Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However, current vision-centric pre-training typically relies on either 2D or 3D pre-text
Externí odkaz:
http://arxiv.org/abs/2405.04390
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
This article presents a novel path planning algorithm for autonomous land vehicles. There are four main contributions: Firstly, an evaluation standard is introduced to measure the performance of different algorithms and to select appropriate paramete
Externí odkaz:
https://doaj.org/article/0770b2d4bb2d4c72bdc2628ccec02e58
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
Outdoor surveillance and security robots have a wide range of industrial, military, and civilian applications. In order to achieve autonomous navigation, the LiDAR-camera system is widely applied by outdoor surveillance and security robots. The calib
Externí odkaz:
https://doaj.org/article/d89518a41ee04389b26b9d6a00b419a2
In this paper, we draw inspiration from Alberto Elfes' pioneering work in 1989, where he introduced the concept of the occupancy grid as World Models for robots. We imbue the robot with a spatial-temporal world model, termed UniWorld, to perceive its
Externí odkaz:
http://arxiv.org/abs/2308.07234
Discriminating the traversability of terrains is a crucial task for autonomous driving in off-road environments. However, it is challenging due to the diverse, ambiguous, and platform-specific nature of off-road traversability. In this paper, we prop
Externí odkaz:
http://arxiv.org/abs/2307.02871
Multi-camera 3D perception has emerged as a prominent research field in autonomous driving, offering a viable and cost-effective alternative to LiDAR-based solutions. The existing multi-camera algorithms primarily rely on monocular 2D pre-training. H
Externí odkaz:
http://arxiv.org/abs/2305.18829
Freespace detection is an essential component of autonomous driving technology and plays an important role in trajectory planning. In the last decade, deep learning-based free space detection methods have been proved feasible. However, these efforts
Externí odkaz:
http://arxiv.org/abs/2206.09907
Current perception models in autonomous driving heavily rely on large-scale labelled 3D data, which is both costly and time-consuming to annotate. This work proposes a solution to reduce the dependence on labelled 3D training data by leveraging pre-t
Externí odkaz:
http://arxiv.org/abs/2206.09900
Publikováno v:
In Talanta 1 January 2025 281