激光雷达
计算机科学
人工智能
计算机视觉
霍夫变换
偏移量(计算机科学)
卡尔曼滤波器
曲率
转化(遗传学)
模式识别(心理学)
遥感
地理
图像(数学)
数学
生物化学
化学
几何学
基因
程序设计语言
作者
Toru Ogawa,Kiyokazu Takagi
出处
期刊:IEEE Intelligent Vehicles Symposium
日期:2006-09-22
被引量:69
标识
DOI:10.1109/ivs.2006.1689684
摘要
This paper presents an approach to the lane recognition using on-vehicle LIDAR. It detests the objects by 2D scanning and collects the range and reflectivity data in each scanning direction. We developed the lane recognition algorithm with these data, in which the lane curvature, yaw angle and offset are calculated by using the Hough transformation, and the lane width is calculated by statistical procedure. Next the lane marks are tracked by the extended Kalman filter. Then we test the performance of the lane recognition and the good results are achieved. Finally, we show the result of the road environment recognition applying the lane recognition by LIDAR
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