Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Gao, Yulu"'
The rise of autonomous vehicles has significantly increased the demand for robust 3D object detection systems. While cameras and LiDAR sensors each offer unique advantages--cameras provide rich texture information and LiDAR offers precise 3D spatial
Externí odkaz:
http://arxiv.org/abs/2408.05945
Autor:
Wang, Yuanbin, Huang, Shaofei, Gao, Yulu, Wang, Zhen, Wang, Rui, Sheng, Kehua, Zhang, Bo, Liu, Si
Traditional 3D segmentation methods can only recognize a fixed range of classes that appear in the training set, which limits their application in real-world scenarios due to the lack of generalization ability. Large-scale visual-language pre-trained
Externí odkaz:
http://arxiv.org/abs/2312.07221
End-to-end autonomous driving aims to build a fully differentiable system that takes raw sensor data as inputs and directly outputs the planned trajectory or control signals of the ego vehicle. State-of-the-art methods usually follow the `Teacher-Stu
Externí odkaz:
http://arxiv.org/abs/2308.00398
With the prevalence of multimodal learning, camera-LiDAR fusion has gained popularity in 3D object detection. Although multiple fusion approaches have been proposed, they can be classified into either sparse-only or dense-only fashion based on the fe
Externí odkaz:
http://arxiv.org/abs/2304.04179
Autor:
Li, Hongyang, Sima, Chonghao, Dai, Jifeng, Wang, Wenhai, Lu, Lewei, Wang, Huijie, Zeng, Jia, Li, Zhiqi, Yang, Jiazhi, Deng, Hanming, Tian, Hao, Xie, Enze, Xie, Jiangwei, Chen, Li, Li, Tianyu, Li, Yang, Gao, Yulu, Jia, Xiaosong, Liu, Si, Shi, Jianping, Lin, Dahua, Qiao, Yu
Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending and drawing extensive attention both from industry and academia. Conventional approaches for most autonomous driving algorithms perform detection, segmentatio
Externí odkaz:
http://arxiv.org/abs/2209.05324
Publikováno v:
In Pattern Recognition April 2024 148
Autor:
Liu, Si, Wang, Zitian, Gao, Yulu, Ren, Lejian, Liao, Yue, Ren, Guanghui, Li, Bo, Yan, Shuicheng
Vision and language understanding techniques have achieved remarkable progress, but currently it is still difficult to well handle problems involving very fine-grained details. For example, when the robot is told to "bring me the book in the girl's l
Externí odkaz:
http://arxiv.org/abs/2105.11168
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence; October 2024, Vol. 46 Issue: 10 p6826-6841, 16p