Search Results for author: Lujia Wang

Found 23 papers, 5 papers with code

A Dynamic Points Removal Benchmark in Point Cloud Maps

1 code implementation14 Jul 2023 Qingwen Zhang, Daniel Duberg, Ruoyu Geng, Mingkai Jia, Lujia Wang, Patric Jensfelt

In the field of robotics, the point cloud has become an essential map representation.


An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information

no code implementations11 Jan 2023 Mingkai Tang, Boyi Liu, Yuanhang Li, Hongji Liu, Ming Liu, Lujia Wang

The low-level solver, the Sustainable Reverse Safe Interval Path Planning algorithm (SRSIPP), is an efficient single-agent solver that uses previous planning context to reduce duplicate calculations.

Multi-Agent Path Finding

MMFN: Multi-Modal-Fusion-Net for End-to-End Driving

1 code implementation1 Jul 2022 Qingwen Zhang, Mingkai Tang, Ruoyu Geng, Feiyi Chen, Ren Xin, Lujia Wang

Inspired by the fact that humans use diverse sensory organs to perceive the world, sensors with different modalities are deployed in end-to-end driving to obtain the global context of the 3D scene.

CARLA MAP Leaderboard

RNGDet: Road Network Graph Detection by Transformer in Aerial Images

no code implementations16 Feb 2022 Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Xinyu Wu, Ming Liu, Lujia Wang

To provide a solution to these problems, we propose a novel approach based on transformer and imitation learning in this paper.

Imitation Learning Motion Planning

csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps

no code implementations11 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.

Autonomous Driving Boundary Detection +1

Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation

no code implementations18 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.

Autonomous Driving Motion Planning +1

YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

1 code implementation17 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.

3D Object Detection From Stereo Images Disparity Estimation +2

A Robust Stereo Camera Localization Method with Prior LiDAR Map Constrains

no code implementations2 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.

Camera Localization Visual Localization

A Robust Roll Angle Estimation Algorithm Based on Gradient Descent

no code implementations5 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.

A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces

no code implementations27 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.


Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

no code implementations19 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).

reinforcement-learning Reinforcement Learning (RL) +2

Real-Time Subpixel Fast Bilateral Stereo

1 code implementation5 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.

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