Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck

Road boundary detection is an important part of the perception of the autonomous driving. It is difficult to detect road boundaries of unstructured roads because there are no curbs. There are no clear boundaries on mine roads to distinguish areas within the road boundary line and areas outside the r...

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Main Authors: Xiaowei Lu, Yunfeng Ai, Bin Tian
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/4/1121
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author Xiaowei Lu
Yunfeng Ai
Bin Tian
author_facet Xiaowei Lu
Yunfeng Ai
Bin Tian
author_sort Xiaowei Lu
collection DOAJ
description Road boundary detection is an important part of the perception of the autonomous driving. It is difficult to detect road boundaries of unstructured roads because there are no curbs. There are no clear boundaries on mine roads to distinguish areas within the road boundary line and areas outside the road boundary line. This paper proposes a real-time road boundary detection and tracking method by a 3D-LIDAR sensor. The road boundary points are extracted from the detected elevated point clouds above the ground point cloud according to the spatial distance characteristics and the angular features. Road tracking is to predict and update the boundary point information in real-time, in order to prevent false and missed detection. The experimental verification of mine road data shows the accuracy and robustness of the proposed algorithm.
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spelling doaj.art-590b098fd13c445d8af30dca6c857f2c2022-12-22T04:00:10ZengMDPI AGSensors1424-82202020-02-01204112110.3390/s20041121s20041121Real-Time Mine Road Boundary Detection and Tracking for Autonomous TruckXiaowei Lu0Yunfeng Ai1Bin Tian2Waytous Inc., Beijing 100083, ChinaWaytous Inc., Beijing 100083, ChinaState Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaRoad boundary detection is an important part of the perception of the autonomous driving. It is difficult to detect road boundaries of unstructured roads because there are no curbs. There are no clear boundaries on mine roads to distinguish areas within the road boundary line and areas outside the road boundary line. This paper proposes a real-time road boundary detection and tracking method by a 3D-LIDAR sensor. The road boundary points are extracted from the detected elevated point clouds above the ground point cloud according to the spatial distance characteristics and the angular features. Road tracking is to predict and update the boundary point information in real-time, in order to prevent false and missed detection. The experimental verification of mine road data shows the accuracy and robustness of the proposed algorithm.https://www.mdpi.com/1424-8220/20/4/1121unstructured roadroad boundary detectionautomatic truckmine scene
spellingShingle Xiaowei Lu
Yunfeng Ai
Bin Tian
Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck
Sensors
unstructured road
road boundary detection
automatic truck
mine scene
title Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck
title_full Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck
title_fullStr Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck
title_full_unstemmed Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck
title_short Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck
title_sort real time mine road boundary detection and tracking for autonomous truck
topic unstructured road
road boundary detection
automatic truck
mine scene
url https://www.mdpi.com/1424-8220/20/4/1121
work_keys_str_mv AT xiaoweilu realtimemineroadboundarydetectionandtrackingforautonomoustruck
AT yunfengai realtimemineroadboundarydetectionandtrackingforautonomoustruck
AT bintian realtimemineroadboundarydetectionandtrackingforautonomoustruck