Bicycle lane detection suited for right turn assistance
In order to avoid the risk of collisions between traditional vehicles or unmanned vehicles and fast-moving bicycles when turning right,it was necessary to detect the bicycle lane stably and locate the cyclist in real time.By adjusting the initial cost and cost aggregation,more accurate three-dimensional matching of bicycle lane images was completed.Based on the improved Hough transform algorithm,the bicycle lane lines on the road were identified and extracted;then 3D vision technique was combined to obtain the accurate 3D coordinates of the bicycle lane.Experimental results showed that the proposed method was able to detect different types of bicycle lanes in most scenarios with high accuracy,accordingly it was suitable for generalized bicycle lane detection.The proposed algorithm would play a positive auxiliary role in realizing scene understanding of all-road scenarios for advanced driving assistance systems or unmanned vehicles.
bicycle lane detectiondriving assistancestereo matchingHough transformlane line fitting
NETL
NSTL
万方数据
