Real-Time Road Detection Using Lidar Data
Real-Time road detection is a demanding task in active safety and auto-driving of vehicle. Vision is the most popular sensing method for road detection, but it is easier to be influenced by illumination, shadows, shield, etc. To overcome those difficulties, the light detection and ranging (Lidar) sensor is a good choice for road detection. For either the urban environment or the rural areas, the important feature of the road is that the road surface could be approximately represented by some planes. Hence, the Lidar’s scanning plane and the road surface intersect at a set of line segments, and a line segment means a road plane. To extract the line segments from a scan, a least mean square problem is proposed, which is solved by a distance segment approach and an iterative line fitting approach. To eliminate the perception dead zone, some suitable historical data are adopted combining with the fresh data. In order to initial the road search range, a hypothesis is given that the area under the vehicle is road. The road detection is achieved for the scans from the close to the distance and in the meanwhile the search range of the next scan is updated. A lot of experiment results demonstrate the robustness and efficiency of the proposed approach for real-time auto-driving of the intelligent vehicles.
KeywordsRoad detection Lidar data Line fit
This work is supported by the National Natural Science Foundation of China under Grant Nos. 90920301, 61005014, 61005002 and the National Basic Research Program of China under Grant No. 2012CB316400.
- 1.Hui K, Audibert JY, Ponce J (2009) Vanishing point detection for road detection. In: IEEE conference on computer vision and pattern recognition 2009, CVPR 2009, pp 96–103Google Scholar
- 2.Foedisch M, Takeuchi A (2004) Adaptive real-time road detection using neural networks. In: Proceedings of the 7th international IEEE conference on intelligent transportation systems, 2004, pp 167–172Google Scholar
- 3.Son TT, Mita S, Takeuchi A (2008) Road detection using segmentation by weighted aggregation based on visual information and a posteriori probability of road regions. In: IEEE international conference on systems, man and cybernetics, 2008, SMC 2008, pp 3018–3025Google Scholar
- 4.Suard F, Rakotomamonjy A, Bensrhair A, Broggi A (2006) Pedestrian detection using infrared images and histograms of oriented gradients. In: IEEE intelligent vehicles symposium, 2006, pp 206–212Google Scholar
- 5.Fardi B, Wanielik G (2004) Hough transformation based approach for road border detection in infrared images. In: IEEE intelligent vehicles symposium, 2004, pp 549–554Google Scholar
- 6.Kirchner A, Heinrich T (1998) model based detection of road boundaries with a laser scanner. In: Proceedings of the 1998 IEEE international conference on intelligent vehicles, vol 1, pp 93–98Google Scholar
- 8.Nguyen V, Martinelli A, Tomatis N, Siegwart R (2005) A comparison of line extraction algorithms using 2D laser rangefinder for indoor mobile robotics. In: IEEE/RSJ international conference on intelligent robots and systems, 2005 (IROS 2005), pp 1929–1934Google Scholar