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摘要: 为获取驾驶员行驶状态信息与监控行车状况, 通过车载CCD图像传感器获得序列图像, 应用数字图像理解和计算机视觉技术, 建立摄像机的透视投影模型和汽车行驶轨迹状态模型, 根据平面图像上的点推导出车辆在空间道路上的实际位置, 对车辆行驶过程中相对道路标线的行驶轨迹进行研究。该方法获得的行驶轨迹曲线能够正确判断驾驶员压线行驶、越线行驶与逆向行驶等违章行为, 是判别驾驶员行驶状态的有效方法。Abstract: In order to monitor driver working states and vehicle traveling conditions at real time, the recognition property of driving routes relative to road traffic mark was analyzed by using the images taken from on-board CCD image sensor, the models of perspective projection and vehicle traveling routes recognition were established by image understanding and computer vision techniques, the vehicle's real three-dimensional positions relative to road traffic mark from the dots of planar images were computed.Computation result shows that vehicle's calculation traveling routes are coincident with reality, so that driver's some peccancy behaviors, such as driving along solid central-line, driving across solid central line and driving along converse roadway, can be decided correctly.
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Key words:
- traffic safety /
- driving status /
- image understanding /
- peccancy driving
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[1] 王荣本, 游峰, 崔高健, 等. 车辆安全换道分析[J]. 吉林大学学报: 工学版, 2005, 35 (2): 179-182. https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY20050200F.htmWang Rong-ben, You Feng, Cui Gao-jian, et al. Analysis on lane-changing safety of vehicle[J]. Journal of Jilin University: Engineering and Technology Edition, 2005, 35 (2): 179-182. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY20050200F.htm [2] 王晋国, 王卫亚, 田丰, 等. 智能导航车载系统[J]. 交通运输工程学报, 2005, 5 (2): 106-109. http://transport.chd.edu.cn/article/id/200502025Wang Jin-gao, Wang Wei-ya, Tian Feng, et al. Vehicle device system of intelligent guiding[J]. Journal of Traffic and Transportation Engineering, 2005, 5 (2): 106-109. (in Chinese) http://transport.chd.edu.cn/article/id/200502025 [3] 苏开娜, 任文君, 易小琳, 等. 基于运动模型的道路识别与跟踪算法的研究[J]. 中国图像图形学报, 2000, 5 (3): 226-231. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200003009.htmSu Kai-na, Ren Wen-jun, Yi Xiao-lin, et al. A kinematic modelbased road reorganization and tracking[J]. Journal of Image and Graphics, 2000, 5 (3): 226-231. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200003009.htm [4] 陈冰, 王兴国, 刘济林. 基于DSPTMS320C6x的实时图像处理系统[J]. 光电工程, 2000, 27 (6): 37-42.Chen Bing, Wang Xing-guo, Liu Ji-lin. Real time image processing systembased on DSPTMS320C6x[J]. Opto-Electronic Engineering, 2000, 27 (6): 37-42. (in Chinese) [5] 周福良, 严惠民. 高速公路汽车测距系统中目标汽车提取的研究[J]. 公路交通科技, 2003, 20 (5): 87-90. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200305023.htmZhou Fu-liang, Yan Hui-min. Car detecting in passive range system on highway[J]. Journal of Highway and Transportation Research and Development, 2003, 20 (5): 87-90. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200305023.htm [6] 揣锦华, 李续龙, 许宏科. 基于视频图像处理的交通流检测方法[J]. 长安大学学报: 自然科学版, 2005, 25 (5): 86-89. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200505020.htmChuai Jin-hua, Li Xu-long, Xu Hong-ke. Traffic flow detection method based on video images processing[J]. Journal of Chang'an University: Natural Science Edition, 2005, 25 (5): 86-89. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200505020.htm [7] 包晓安, 钟乐海, 蒋军生. 运动车辆图像序列的分割与跟踪[J]. 四川师范学院学报: 自然科学版, 2003, 24 (1): 132-137.Bao Xiao-an, Zhong Le-hai, Jiang Jun-sheng. Track and segmentation from an image sequence of moving vehicles[J]. Journal of Sichuan Teachers College: Natural Science, 2003, 24 (1): 132-137. (in Chinese) [8] 刘玉梅, 苏建, 潘洪达, 等. 虚拟仪器技术在汽车性能测试中的应用[J]. 中国公路学报, 2005, 18 (2): 112-115. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL20050200M.htmLiu Yu-mei, Su Jian, Pan Hong-da, et al. Application of virtual instrument technology in automobile performance test[J]. China Journal of Highway and Transport, 2005, 18 (2): 112-115. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL20050200M.htm