Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Wang, Tiancai"'
Autor:
Bai, Yifan, Wu, Dongming, Liu, Yingfei, Jia, Fan, Mao, Weixin, Zhang, Ziheng, Zhao, Yucheng, Shen, Jianbing, Wei, Xing, Wang, Tiancai, Zhang, Xiangyu
Rapid advancements in Autonomous Driving (AD) tasks turned a significant shift toward end-to-end fashion, particularly in the utilization of vision-language models (VLMs) that integrate robust logical reasoning and cognitive abilities to enable compr
Externí odkaz:
http://arxiv.org/abs/2405.18361
Autor:
Kong, Lingdong, Xie, Shaoyuan, Hu, Hanjiang, Niu, Yaru, Ooi, Wei Tsang, Cottereau, Benoit R., Ng, Lai Xing, Ma, Yuexin, Zhang, Wenwei, Pan, Liang, Chen, Kai, Liu, Ziwei, Qiu, Weichao, Zhang, Wei, Cao, Xu, Lu, Hao, Chen, Ying-Cong, Kang, Caixin, Zhou, Xinning, Ying, Chengyang, Shang, Wentao, Wei, Xingxing, Dong, Yinpeng, Yang, Bo, Jiang, Shengyin, Ma, Zeliang, Ji, Dengyi, Li, Haiwen, Huang, Xingliang, Tian, Yu, Kou, Genghua, Jia, Fan, Liu, Yingfei, Wang, Tiancai, Li, Ying, Hao, Xiaoshuai, Yang, Yifan, Zhang, Hui, Wei, Mengchuan, Zhou, Yi, Zhao, Haimei, Zhang, Jing, Li, Jinke, He, Xiao, Cheng, Xiaoqiang, Zhang, Bingyang, Zhao, Lirong, Ding, Dianlei, Liu, Fangsheng, Yan, Yixiang, Wang, Hongming, Ye, Nanfei, Luo, Lun, Tian, Yubo, Zuo, Yiwei, Cao, Zhe, Ren, Yi, Li, Yunfan, Liu, Wenjie, Wu, Xun, Mao, Yifan, Li, Ming, Liu, Jian, Liu, Jiayang, Qin, Zihan, Chu, Cunxi, Xu, Jialei, Zhao, Wenbo, Jiang, Junjun, Liu, Xianming, Wang, Ziyan, Li, Chiwei, Li, Shilong, Yuan, Chendong, Yang, Songyue, Liu, Wentao, Chen, Peng, Zhou, Bin, Wang, Yubo, Zhang, Chi, Sun, Jianhang, Chen, Hai, Yang, Xiao, Wang, Lizhong, Fu, Dongyi, Lin, Yongchun, Yang, Huitong, Li, Haoang, Luo, Yadan, Cheng, Xianjing, Xu, Yong
In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles. Challenges such as adverse weather, sensor malfunctions, and environmental unpredictability can severely impa
Externí odkaz:
http://arxiv.org/abs/2405.08816
Autor:
Huang, Binyuan, Wen, Yuqing, Zhao, Yucheng, Hu, Yaosi, Liu, Yingfei, Jia, Fan, Mao, Weixin, Wang, Tiancai, Zhang, Chi, Chen, Chang Wen, Chen, Zhenzhong, Zhang, Xiangyu
Autonomous driving progress relies on large-scale annotated datasets. In this work, we explore the potential of generative models to produce vast quantities of freely-labeled data for autonomous driving applications and present SubjectDrive, the firs
Externí odkaz:
http://arxiv.org/abs/2403.19438
Autor:
Wang, Haochen, Fan, Junsong, Wang, Yuxi, Song, Kaiyou, Wang, Tiancai, Zhang, Xiangyu, Zhang, Zhaoxiang
Masked visual modeling has attracted much attention due to its promising potential in learning generalizable representations. Typical approaches urge models to predict specific contents of masked tokens, which can be intuitively considered as teachin
Externí odkaz:
http://arxiv.org/abs/2312.13714
Autor:
Li, Hongyang, Li, Yang, Wang, Huijie, Zeng, Jia, Xu, Huilin, Cai, Pinlong, Chen, Li, Yan, Junchi, Xu, Feng, Xiong, Lu, Wang, Jingdong, Zhu, Futang, Xu, Chunjing, Wang, Tiancai, Xia, Fei, Mu, Beipeng, Peng, Zhihui, Lin, Dahua, Qiao, Yu
With the continuous maturation and application of autonomous driving technology, a systematic examination of open-source autonomous driving datasets becomes instrumental in fostering the robust evolution of the industry ecosystem. Current autonomous
Externí odkaz:
http://arxiv.org/abs/2312.03408
Autor:
Yu, En, Zhao, Liang, Wei, Yana, Yang, Jinrong, Wu, Dongming, Kong, Lingyu, Wei, Haoran, Wang, Tiancai, Ge, Zheng, Zhang, Xiangyu, Tao, Wenbing
Humans possess the remarkable ability to foresee the future to a certain extent based on present observations, a skill we term as foresight minds. However, this capability remains largely under explored within existing Multimodal Large Language Model
Externí odkaz:
http://arxiv.org/abs/2312.00589
Autor:
Jia, Fan, Mao, Weixin, Liu, Yingfei, Zhao, Yucheng, Wen, Yuqing, Zhang, Chi, Zhang, Xiangyu, Wang, Tiancai
Typically, autonomous driving adopts a modular design, which divides the full stack into perception, prediction, planning and control parts. Though interpretable, such modular design tends to introduce a substantial amount of redundancy. Recently, mu
Externí odkaz:
http://arxiv.org/abs/2311.13549
Autor:
Li, Shuailin, Zhang, Yuang, Zhao, Yucheng, Wang, Qiuyue, Jia, Fan, Liu, Yingfei, Wang, Tiancai
Despite the rapid development of video Large Language Models (LLMs), a comprehensive evaluation is still absent. In this paper, we introduce a unified evaluation that encompasses multiple video tasks, including captioning, question and answering, ret
Externí odkaz:
http://arxiv.org/abs/2311.11865
Topology reasoning aims to comprehensively understand road scenes and present drivable routes in autonomous driving. It requires detecting road centerlines (lane) and traffic elements, further reasoning their topology relationship, i.e., lane-lane to
Externí odkaz:
http://arxiv.org/abs/2310.06753
A new trend in the computer vision community is to capture objects of interest following flexible human command represented by a natural language prompt. However, the progress of using language prompts in driving scenarios is stuck in a bottleneck du
Externí odkaz:
http://arxiv.org/abs/2309.04379