基于迁移学习的路面障碍物检测

Detection of Road Obstacles Based on Transfer Learning

为了提高智能汽车对路面障碍物检测的精度和速度,本文基于YOLO V3深度学习网络模型和迁移学习算法建立路面障碍物检测模型,并对模型的训练和测试结果进行评估。

In order to improve the precision and speed of the detection of road obstacles for intelligent vehicles,this paper builds the detection model of road obstacles based on YOLO V3 deep learning network model and transfer learning algorithm,and evaluates the training and testing results of the model.