Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xiangcun Kong"'
Autor:
Xiangcun Kong, Shuyue Shi, Bingchen Yan, Shuzhe Si, Juan Ni, Dong Guo, Pengwei Wang, Lei Wang, Yi Xu
Publikováno v:
Actuators, Vol 13, Iss 8, p 317 (2024)
Aiming at the problem of blind field of view caused by the change in the vehicle’s yaw angle when the self-driving vehicle is turning or changing lanes, this paper proposes a camera rotation strategy based on monocular active environment sensing, w
Externí odkaz:
https://doaj.org/article/253d62093c934fab822d97126df332d2
Autor:
Juan Ni, Xiangcun Kong, Bingchen Yan, Shuzhe Si, Shuyue Shi, Dong Guo, Pengwei Wang, Lei Wang, Yi Xu
Publikováno v:
Sensors, Vol 24, Iss 14, p 4725 (2024)
Vehicle pose detection plays a vital role in modern automotive technology, which can improve driving safety, enhance vehicle stability and provide important support for the development of autonomous driving technology. The current pose estimation met
Externí odkaz:
https://doaj.org/article/1a3fc5ba42434defa814e475909e8dd1
Publikováno v:
Sensors, Vol 24, Iss 13, p 4407 (2024)
The types of obstacles encountered in the road environment are complex and diverse, and accurate and reliable detection of obstacles is the key to improving traffic safety. Traditional obstacle detection methods are limited by the type of samples and
Externí odkaz:
https://doaj.org/article/a60b48ccb6864f30b27654fa9c0efb8d
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10913 (2023)
Our objective is to develop a video reflection removal algorithm that is both easy to compute and effective. Unlike previous methods that depend on machine learning, our approach proposes a local image reflection removal technique that combines image
Externí odkaz:
https://doaj.org/article/0969f557c7b8411ea2da45b2fdd647c4
Publikováno v:
Sensors, Vol 23, Iss 19, p 8151 (2023)
To meet the real-time path planning requirements of intelligent vehicles in dynamic traffic scenarios, a path planning and evaluation method is proposed in this paper. Firstly, based on the B-spline algorithm and four-stage lane-changing theory, an o
Externí odkaz:
https://doaj.org/article/643e4234a6a1454d916035155509c835
Publikováno v:
Sensors, Vol 23, Iss 17, p 7468 (2023)
This paper presents a VIDAR (a Vision-IMU based detection and ranging method)-based approach to road-surface pothole detection. Most potholes on the road surface are caused by the further erosion of cracks in the road surface, and tires, wheels and b
Externí odkaz:
https://doaj.org/article/2050c253b3d441c8b2a223395e4323fe
Autor:
Shaohong Ding, Yi Xu, Qian Zhang, Jinxin Yu, Teng Sun, Juan Ni, Shuyue Shi, Xiangcun Kong, Ruoyu Zhu, Liming Wang, Pengwei Wang
Publikováno v:
Sensors, Vol 23, Iss 10, p 4920 (2023)
Road obstacle detection is an important component of intelligent assisted driving technology. Existing obstacle detection methods ignore the important direction of generalized obstacle detection. This paper proposes an obstacle detection method based
Externí odkaz:
https://doaj.org/article/36d9213ac4f44ce3b036077454151e47
Autor:
Yi Xu1 xuyisdut@163.com, Jinxin Yu2 2889717886@qq.com, Lei Wang3 wangleiruiyitech@163.com, Dong Guo4 jiaoyun547@163.com, Shaohong Ding4 1846336356@qq.com, Teng Sun2 877992783@qq.com, Juan Ni2 3523830545@qq.com, Shuyue Shi2 2508790400@qq.com, Xiangcun Kong2 726455173@qq.com, Song Gao5 gaosongsdut@163.com, Yuqiong Wang5 wyq_sdut@163.com
Publikováno v:
Engineering Letters. Apr2024, Vol. 32 Issue 4, p768-782. 15p.