A system development for autonomous driving of mini-tram

被引：0
|
作者：
Kim T. [1 ]
Oh H. [1 ]
Shim D.H. [1 ]
机构：
[1] Korea Advanced Institute of Science and Technology (KAIST), Korea, Republic of
来源：
Journal of Institute of Control, Robotics and Systems | 2019年 / 25卷 / 06期
关键词：
Autonomous driving; Localization; Machine learning; Mini-tram; Navigation; Recognition;
D O I：
10.5302/J.ICROS.2019.19.0038
中图分类号：
学科分类号：
摘要：
This article describes a system development for autonomous driving of mini-tram and its experimental results on outdoor autonomous driving. The mini-tram was provided by KRRI (Korea Railroad Research Institute). For the pose estimation, we fused an IMU and a GPS sensor using extended Kalman filter. We chose an NVIDIA Drive PX2 and LiDAR to recognize the outdoor environment. In order to verify the feasibility of the developed system, we performed outdoor autonomous driving experiments. © ICROS 2019.
引用
收藏
页码：506 / 511
页数：5
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