no code implementations • 16 Feb 2022 • Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Ming Liu, Lujia Wang
Road network graphs provide critical information for autonomous vehicle applications, such as motion planning on drivable areas.
no code implementations • 11 Nov 2021 • Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Ming Liu, Lujia Wang
To provide a solution to the aforementioned problems, in this letter, we propose a novel system termed csBoundary to automatically detect road boundaries at the city scale for HD map annotation.
no code implementations • 26 Jul 2021 • Zhenhua Xu, Yuxiang Sun, Lujia Wang, Ming Liu
To alleviate this issue, we detect road curbs offline using high-resolution aerial images in this paper.
no code implementations • 18 Apr 2021 • Hengli Wang, Peide Cai, Yuxiang Sun, Lujia Wang, Ming Liu
To address this problem, we propose an interpretable end-to-end vision-based motion planning approach for autonomous driving, referred to as IVMP.
no code implementations • 24 Mar 2021 • Jianhao Jiao, Yilong Zhu, Haoyang Ye, Huaiyang Huang, Peng Yun, Linxin Jiang, Lujia Wang, Ming Liu
Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in large-scale, real-world scenarios.
1 code implementation • 17 Mar 2021 • Yuxuan Liu, Lujia Wang, Ming Liu
Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs.
no code implementations • 16 Oct 2020 • Boyi Liu, Lujia Wang, Xinquan Chen, Lexiong Huang, Cheng-Zhong Xu
Both data and models are shared by robots to the cloud after semantic computing and training locally.
no code implementations • 16 Apr 2020 • Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu
Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e. g., retail, catering) during the pandemic, which causes inconveniences for human daily life.
no code implementations • 24 Dec 2019 • Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu
Compared with transfer learning and meta-learning, FIL is more suitable to be deployed in cloud robotic systems.
no code implementations • 2 Dec 2019 • Dong Han, Zuhao Zou, Lujia Wang, Cheng-Zhong Xu
Different from the conventional visual localization system, we design a novel visual optimization model by matching planar information between the LiDAR map and visual image.
no code implementations • 3 Sep 2019 • Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu
The experimental results demonstrate that FIL is capable of increasing imitation learning of local robots in cloud robotic systems.
no code implementations • 5 Jun 2019 • Rui Fan, Lujia Wang, Ming Liu, Ioannis Pitas
This paper presents a robust roll angle estimation algorithm, which is developed from our previously published work, where the roll angle was estimated from a dense disparity map by minimizing a global energy using golden section search algorithm.
no code implementations • 27 Apr 2019 • Jianhao Jiao, Qinghai Liao, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu
Multiple lidars are prevalently used on mobile vehicles for rendering a broad view to enhance the performance of localization and perception systems.
no code implementations • 19 Jan 2019 • Boyi Liu, Lujia Wang, Ming Liu
To address the problem, we present a learning architecture for navigation in cloud robotic systems: Lifelong Federated Reinforcement Learning (LFRL).
no code implementations • 28 Aug 2018 • Han Ma, Yixin Ma, Jianhao Jiao, M Usman Maqbool Bhutta, Mohammud Junaid Bocus, Lujia Wang, Ming Liu, Rui Fan
Lane detection is very important for self-driving vehicles.
1 code implementation • 5 Jul 2018 • Rui Fan, Yanan Liu, Mohammud Junaid Bocus, Lujia Wang, Ming Liu
Stereo vision technique has been widely used in robotic systems to acquire 3-D information.