Vision Based Parking Slot Detection
2021年1月13日Download: http://gg.gg/ntnrj
*Vision Based Parking Slot Detection System
*Vision Based Parking Slot Detection ToolVision Based Parking Slot Detection System
Detection of the parking slot and its occupancy in the parking area. This system consists of a sensor based networks and control system for the detection. The limit switches are used as the sensor networks. The limit switches are fixed on each parking area and it will indicate the vacant slot by ON OFF method. The high-level structure of a typical vision-based parking-slot detection system. It usually comprises two modules, surround-view synthesis and parking-slot detection from the surround-view. When a parking-slot is detected, its position with respect to the vehicle-centered coordinate system will be passed to the decision module.Vision Based Parking Slot Detection Tool
*Bishop, R.: Intelligent Vehicle Technology and Trends. Artech House Pub. (2005)Google Scholar
*Frank, R.: Sensing in the Ultimately Safe Vehicle, SAE Paper No.: 2004-21-0055, Society of Automotive Engineers (2004)Google Scholar
*Schanz, A., et al.: Autonomous Parking in Subterranean Garages – A Look at the Position Estimation. In: IEEE Intelligent Vehicle Symposium, pp. 253–258 (2003)Google Scholar
*Wada, M., et al.: Development of Advanced Parking Assistance System. IEEE Trans. Industrial Electronics 50(1), 4–17 (2003)CrossRefGoogle Scholar
*Furutani, M.: Obstacle Detection Systems for Vehicle Safety, SAE Paper No.: 2004-21-0057, Society of Automotive Engineers (2004)Google Scholar
*Kaempchen, N., et al.: Stereo Vision Based Estimation of Parking Lots Using 3D Vehicle Models. In: IEEE Intelligent Vehicle Symposium, vol. 2, pp. 459–464 (2002)Google Scholar
*Xu, J., et al.: Vision-Guided Automatic Parking for Smart Car. In: IEEE Intelligent Vehicle Symposium, pp. 725–730 (2000)Google Scholar
*Jung, H.G., et al.: Stereo Vision Based Localization of Free Parking Site. In: Gagalowicz, A., Philips, W. (eds.) CAIP 2005. LNCS, vol. 3691, pp. 231–239. Springer, Heidelberg (2005)CrossRefGoogle Scholar
*Vestri, C., et al.: Evaluation of a Vision-Based Parking Assistance System. In: IEEE Conf. Intelligent Transportation Systems, pp. 56–60 (2005)Google Scholar
*Salvi, J., et al.: A Comparative Review of Camera Calibrating Methods with Accuracy Evaluation. Pattern Recognition 35, 1617–1635 (2002)zbMATHCrossRefGoogle Scholar
*Bouguet, J.Y.: Camera Calibration Toolbox for Matlab, http://www.vision.caltech.edu/bouguetj/calib_doc/index.html
*Key, S.M.: Fundamentals of Statistical Signal Processing. Estimation Theory, vol. I, pp. 193–195. Prentice Hall, Englewood Cliffs (1993)Google Scholar
Download: http://gg.gg/ntnrj https://diarynote.indered.space
*Vision Based Parking Slot Detection System
*Vision Based Parking Slot Detection ToolVision Based Parking Slot Detection System
Detection of the parking slot and its occupancy in the parking area. This system consists of a sensor based networks and control system for the detection. The limit switches are used as the sensor networks. The limit switches are fixed on each parking area and it will indicate the vacant slot by ON OFF method. The high-level structure of a typical vision-based parking-slot detection system. It usually comprises two modules, surround-view synthesis and parking-slot detection from the surround-view. When a parking-slot is detected, its position with respect to the vehicle-centered coordinate system will be passed to the decision module.Vision Based Parking Slot Detection Tool
*Bishop, R.: Intelligent Vehicle Technology and Trends. Artech House Pub. (2005)Google Scholar
*Frank, R.: Sensing in the Ultimately Safe Vehicle, SAE Paper No.: 2004-21-0055, Society of Automotive Engineers (2004)Google Scholar
*Schanz, A., et al.: Autonomous Parking in Subterranean Garages – A Look at the Position Estimation. In: IEEE Intelligent Vehicle Symposium, pp. 253–258 (2003)Google Scholar
*Wada, M., et al.: Development of Advanced Parking Assistance System. IEEE Trans. Industrial Electronics 50(1), 4–17 (2003)CrossRefGoogle Scholar
*Furutani, M.: Obstacle Detection Systems for Vehicle Safety, SAE Paper No.: 2004-21-0057, Society of Automotive Engineers (2004)Google Scholar
*Kaempchen, N., et al.: Stereo Vision Based Estimation of Parking Lots Using 3D Vehicle Models. In: IEEE Intelligent Vehicle Symposium, vol. 2, pp. 459–464 (2002)Google Scholar
*Xu, J., et al.: Vision-Guided Automatic Parking for Smart Car. In: IEEE Intelligent Vehicle Symposium, pp. 725–730 (2000)Google Scholar
*Jung, H.G., et al.: Stereo Vision Based Localization of Free Parking Site. In: Gagalowicz, A., Philips, W. (eds.) CAIP 2005. LNCS, vol. 3691, pp. 231–239. Springer, Heidelberg (2005)CrossRefGoogle Scholar
*Vestri, C., et al.: Evaluation of a Vision-Based Parking Assistance System. In: IEEE Conf. Intelligent Transportation Systems, pp. 56–60 (2005)Google Scholar
*Salvi, J., et al.: A Comparative Review of Camera Calibrating Methods with Accuracy Evaluation. Pattern Recognition 35, 1617–1635 (2002)zbMATHCrossRefGoogle Scholar
*Bouguet, J.Y.: Camera Calibration Toolbox for Matlab, http://www.vision.caltech.edu/bouguetj/calib_doc/index.html
*Key, S.M.: Fundamentals of Statistical Signal Processing. Estimation Theory, vol. I, pp. 193–195. Prentice Hall, Englewood Cliffs (1993)Google Scholar
Download: http://gg.gg/ntnrj https://diarynote.indered.space
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