Abstract
In this paper, we present a new multi camera approach to Lane Departure Warning (LDW). Upon acquisition, the captured images are transformed to a bird’s-eye view using a modified perspective removal transformation. Then, camera calibration is used to accurately determine the position of the two cameras relative to a reference point. Lane detection is performed on the front and rear camera images which are combined using data fusion. Finally, the distance between the vehicle and adjacent lane boundaries is determined allowing to perform LDW. The proposed system was tested on real world driving videos and shows good results when compared to ground truth.
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References
LeBlanc, D., Johnson, G., Venhovens, P., Gerber, G., DeSonia, R., Ervin, R., Lin, C., Ulsoy, A., Pilutti, T.: CAPC: A road-departure prevention system. IEEE Control Systems Magazine 16(6), 61–71 (1996)
Kwon, W., Lee, J., Shin, D., Roh, K., Kim, D., Lee, S.: Experiments on decision making strategies for a lane departure warning system. In: Proceedings of IEEE International Conference on Robotics and Automation, vol. 4, pp. 2596–2601. IEEE, Los Alamitos (1999)
Kim, S., Oh, S.: A driver adaptive lane departure warning system based on image processing and a fuzzy evolutionary technique. In: Proceedings of IEEE Intelligent Vehicles Symposium, pp. 361–365. IEEE, Los Alamitos (2003)
Dai, X., Kummert, A., Park, S., Neisius, D.: A warning algorithm for Lane Departure Warning system. In: IEEE Intelligent Vehicles Symposium, pp. 431–435. IEEE, Los Alamitos (2009)
Hsiao, P., Yeh, C., Huang, S., Fu, L.: A portable vision-based real-time lane departure warning system: day and night. IEEE Transactions on Vehicular Technology 58(4), 2089–2094 (2009)
Lin, Q., Han, Y., Hahn, H.: Real-time Lane Detection Based on Extended Edge-linking Algorithm. In: Second International Conference on Computer Research and Development, pp. 725–730 (2010)
Leng, Y.-C., Chen, C.-L.: Vision-based lane departure detection system in urban traffic scenes. In: 11th International Conference on Control Automation Robotics Vision, ICARCV 2010, pp. 1875–1880 (2010)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004)
Lébraly, P., Deymier, C., Ait-Aider, O., Royer, E., Dhome, M.: Flexible extrinsic calibration of non-overlapping cameras using a planar mirror: Application to vision-based robotics. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2010, pp. 5640–5647. IEEE, Los Alamitos (2010)
Kumar, R., Ilie, A., Frahm, J., Pollefeys, M.: Simple calibration of non-overlapping cameras with a mirror. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008. IEEE, Los Alamitos (2008)
Pagel, F.: Calibration of non-overlapping cameras in vehicles. In: IEEE Intelligent Vehicles Symposium (IV), pp. 1178–1183. IEEE, Los Alamitos (2010)
Ieng, S., Vrignon, J., Gruyer, D., Aubert, D.: A new multi-lanes detection using multi-camera for robust vehicle location. In: Proceedings of IEEE Intelligent Vehicles Symposium, pp. 700–705. IEEE, Los Alamitos (2005)
Bertozzi, M., Broggi, A.: GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Transactions on Image Processing 7(1), 62–81 (1998)
Federal Highway Administration. Manual Uniform Traffic Control Devices (November 2009), http://mutcd.fhwa.dot.gov/
Borkar, A., Hayes, M., Smith, M.T.: A template matching and ellipse modeling approach to detecting lane markers. In: Blanc-Talon, J., Bone, D., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2010, Part II. LNCS, vol. 6475, pp. 179–190. Springer, Heidelberg (2010)
Infiniti USA, 2012 Infiniti M Specs & Options (2011), http://www.infinitiusa.com/m/specs-options
Mercedes-Benz USA, 2011 Mercedes-Benz S550 Specs (2011), http://www.mbusa.com/mercedes/vehicles/explore/specs/class-S/model-S550V
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Borkar, A., Hayes, M., Smith, M.T. (2011). A New Multi-camera Approach for Lane Departure Warning. In: Blanc-Talon, J., Kleihorst, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2011. Lecture Notes in Computer Science, vol 6915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23687-7_6
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DOI: https://doi.org/10.1007/978-3-642-23687-7_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23686-0
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