Zobrazeno 1 - 10
of 311
pro vyhledávání: '"Yang Diange"'
Autor:
Qian, Kangan, Jiao, Xinyu, Shi, Yining, Wang, Yunlong, Luo, Ziang, Fu, Zheng, Jiang, Kun, Yang, Diange
Reliable perception of spatial and motion information is crucial for safe autonomous navigation. Traditional approaches typically fall into two categories: object-centric and class-agnostic methods. While object-centric methods often struggle with mi
Externí odkaz:
http://arxiv.org/abs/2412.04020
In autonomous driving, recent advances in lane segment perception provide autonomous vehicles with a comprehensive understanding of driving scenarios. Moreover, incorporating prior information input into such perception model represents an effective
Externí odkaz:
http://arxiv.org/abs/2411.17161
Autor:
Qian, Kangan, Ma, Zhikun, He, Yangfan, Luo, Ziang, Shi, Tianyu, Zhu, Tianze, Li, Jiayin, Wang, Jianhui, Chen, Ziyu, He, Xiao, Shi, Yining, Fu, Zheng, Jiao, Xinyu, Jiang, Kun, Yang, Diange, Matsumaru, Takafumi
Ensuring safe, comfortable, and efficient navigation is a critical goal for autonomous driving systems. While end-to-end models trained on large-scale datasets excel in common driving scenarios, they often struggle with rare, long-tail events. Recent
Externí odkaz:
http://arxiv.org/abs/2411.18013
Autor:
Wijaya, Benny, Jiang, Kun, Yang, Mengmeng, Wen, Tuopu, Wang, Yunlong, Tang, Xuewei, Fu, Zheng, Zhou, Taohua, Yang, Diange
Along with the rapid growth of autonomous vehicles (AVs), more and more demands are required for environment perception technology. Among others, HD mapping has become one of the more prominent roles in helping the vehicle realize essential tasks suc
Externí odkaz:
http://arxiv.org/abs/2409.09726
Autor:
Xia, Deguo, Zhang, Weiming, Liu, Xiyan, Zhang, Wei, Gong, Chenting, Huang, Jizhou, Yang, Mengmeng, Yang, Diange
Generating city-scale lane-level maps faces significant challenges due to the intricate urban environments, such as blurred or absent lane markings. Additionally, a standard lane-level map requires a comprehensive organization of lane groupings, enco
Externí odkaz:
http://arxiv.org/abs/2406.14255
Autor:
Shi, Yining, Jiang, Kun, Wang, Ke, Qian, Kangan, Wang, Yunlong, Li, Jiusi, Wen, Tuopu, Yang, Mengmeng, Xu, Yiliang, Yang, Diange
3D occupancy prediction (Occ) is a rapidly rising challenging perception task in the field of autonomous driving which represents the driving scene as uniformly partitioned 3D voxel grids with semantics. Compared to 3D object detection, grid percepti
Externí odkaz:
http://arxiv.org/abs/2406.07042
Vision-centric occupancy networks, which represent the surrounding environment with uniform voxels with semantics, have become a new trend for safe driving of camera-only autonomous driving perception systems, as they are able to detect obstacles reg
Externí odkaz:
http://arxiv.org/abs/2406.07037
Autor:
Jia, Peijin, Wen, Tuopu, Luo, Ziang, Yang, Mengmeng, Jiang, Kun, Lei, Zhiquan, Tang, Xuewei, Liu, Ziyuan, Cui, Le, Zhang, Bo, Huang, Long, Yang, Diange
Constructing high-definition (HD) maps is a crucial requirement for enabling autonomous driving. In recent years, several map segmentation algorithms have been developed to address this need, leveraging advancements in Bird's-Eye View (BEV) perceptio
Externí odkaz:
http://arxiv.org/abs/2405.02008
Autor:
Miao, Jinyu, Jiang, Kun, Wen, Tuopu, Wang, Yunlong, Jia, Peijing, Zhao, Xuhe, Cheng, Qian, Xiao, Zhongyang, Huang, Jin, Zhong, Zhihua, Yang, Diange
Monocular Re-Localization (MRL) is a critical component in autonomous applications, estimating 6 degree-of-freedom ego poses w.r.t. the scene map based on monocular images. In recent decades, significant progress has been made in the development of M
Externí odkaz:
http://arxiv.org/abs/2311.15643
Self-driving vehicles (SDVs) are becoming reality but still suffer from "long-tail" challenges during natural driving: the SDVs will continually encounter rare, safety-critical cases that may not be included in the dataset they were trained. Some saf
Externí odkaz:
http://arxiv.org/abs/2305.07497