Smart Speed Bump Detection and Estimation with Kinect

被引：0

作者：

Lion, Kwang Ming ^{[1
]}

Kwong, Kae Hsiang ^{[2
]}

Lai, Weng Kin ^{[1
]}

机构：

[1] Tunku Abdul Rahman Univ Coll, Fac Engn, Dept E&E Engn, Kuala Lumpur, Malaysia

[2] Recogine Technol Sdn Bhd, Subang Jaya, Selangor, Malaysia

来源：

CONFERENCE PROCEEDINGS OF 2018 4TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR) | 2018年

关键词：

3D scene reconstruction; depth map; depth estimation; microsoft kinect sensor; object detection; speed bump;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Prior identification of speed bumps allows drivers and the car suspension system to respond before passing over them. This may prevent bad driving experience, vehicle damage and in the extreme case, accidents. This paper proposes a cost effective method of speed bumps detection and height estimation by using the Microsoft Kinect Sensor. 3D scene reconstruction is based on both the colour and depth images acquired from Kinect's RGB and IR cameras. In addition, a smart speed bump detector is trained to recognize speed bumps and finally extract its properties such as its height and distance from the Kinect sensor.

引用

页码：465 / 469

页数：5

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