Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Nie, Yiming"'
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
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
Autor:
Nie, Yiming, Qin, Yu, Shen, Yang, Yang, Yan, Huang, Jianhua, Mao, Yang, Xu, Honghong, Wen, Yanxuan, Su, Jing
Publikováno v:
In Materials Today Communications June 2024 39
State-of-the-art autonomous driving systems rely on high definition (HD) maps for localization and navigation. However, building and maintaining HD maps is time-consuming and expensive. Furthermore, the HD maps assume structured environment such as t
Externí odkaz:
http://arxiv.org/abs/2105.03869
Publikováno v:
IEEE Robotics and Automation Letters, vol.6, pp. 3445-3450, 2021
Deep learning has recently demonstrated its promising performance for vision-based parking-slot detection. However, very few existing methods explicitly take into account learning the link information of the marking-points, resulting in complex post-
Externí odkaz:
http://arxiv.org/abs/2104.02576
Publikováno v:
In International Journal of Production Economics September 2023 263