南京理工大学学报(自然科学版)
南京理工大學學報(自然科學版)
남경리공대학학보(자연과학판)
JOURNAL OF NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY
2014年
6期
739-744
,共6页
王超%赵春霞%任明武%王欢
王超%趙春霞%任明武%王歡
왕초%조춘하%임명무%왕환
单目视觉%车辆%碰撞模型%主动安全%目标车辆%世界坐标系%实际车辆%消失点检测%碰撞时间
單目視覺%車輛%踫撞模型%主動安全%目標車輛%世界坐標繫%實際車輛%消失點檢測%踫撞時間
단목시각%차량%팽당모형%주동안전%목표차량%세계좌표계%실제차량%소실점검측%팽당시간
mono-vision%vehicles%collision model%active safety%target vehicles%world coordinate system%real vehicles%vanishing point detection%time to collision
为了解决主动安全研究中车辆在行驶过程中与前车的碰撞危险判定问题,该文提出了一种车辆碰撞模型。基于针孔成像原理,分析图像中目标车辆与世界坐标系中实际车辆的映射关系。检测图像中路面消失点与车辆底部的位置,并以其差值作为车辆尺寸特征。分析多帧图像中车辆目标尺寸特征的变化规律,从而分析出车辆行进趋势,并估算出前车同本车的相对碰撞时间。该碰撞模型既为驾驶员反馈了碰撞时间信息,又通过分析加速度避免虚警。与已有模型相比较,该文模型在车辆距离大于30 m时效果不稳定,在距离小于30 m时误差低于5%。实验结果表明该模型具备较强的实用性与准确性。
為瞭解決主動安全研究中車輛在行駛過程中與前車的踫撞危險判定問題,該文提齣瞭一種車輛踫撞模型。基于針孔成像原理,分析圖像中目標車輛與世界坐標繫中實際車輛的映射關繫。檢測圖像中路麵消失點與車輛底部的位置,併以其差值作為車輛呎吋特徵。分析多幀圖像中車輛目標呎吋特徵的變化規律,從而分析齣車輛行進趨勢,併估算齣前車同本車的相對踫撞時間。該踫撞模型既為駕駛員反饋瞭踫撞時間信息,又通過分析加速度避免虛警。與已有模型相比較,該文模型在車輛距離大于30 m時效果不穩定,在距離小于30 m時誤差低于5%。實驗結果錶明該模型具備較彊的實用性與準確性。
위료해결주동안전연구중차량재행사과정중여전차적팽당위험판정문제,해문제출료일충차량팽당모형。기우침공성상원리,분석도상중목표차량여세계좌표계중실제차량적영사관계。검측도상중로면소실점여차량저부적위치,병이기차치작위차량척촌특정。분석다정도상중차량목표척촌특정적변화규률,종이분석출차량행진추세,병고산출전차동본차적상대팽당시간。해팽당모형기위가사원반궤료팽당시간신식,우통과분석가속도피면허경。여이유모형상비교,해문모형재차량거리대우30 m시효과불은정,재거리소우30 m시오차저우5%。실험결과표명해모형구비교강적실용성여준학성。
In order to solve the problem of collision safety analysis of moving vehicles in active safety field,a new vehicle collision model is proposed here. The corresponding relations between target vehicles in images and real vehicles in world coordinate system are analyzed based on keyhole imaging principle. The vanishing point of road and the location of vehicle bottom in images are detected,and their difference is treated as the scale of vehicles. The changing law of the scale of vehicles in multi-frame images is analyzed, and the moving tendency of the vehicles is calculated and the time of collision between the front vehicle and the self-vehicle is evaluated. The vehicle collision model proposed here provides exact warning time and avoids needless alarms by analyzing acceleration. Compared with other models,the result of this model is astable when the distance between vehicles is longer than 30 m, and the error of this model is below 5% when the distance between vehicles is shorter than 30 m. A real vehicle experiment verifies the practicability and accuracy of this model.