论文标题
通过模仿学习进行自主驾驶的实验
Experiments in Autonomous Driving Through Imitation Learning
论文作者
论文摘要
该报告演示了使用有监督的学习算法和向前的RGBD摄像头制造自动驾驶车辆的几种方法。该项目最初涉及对对车辆模型进行对抗性攻击的研究，但是由于对汽车的初步训练的困难，该计划被丢弃，有利于完成项目的模仿学习部分。探索了许多方法，但是由于数据集不平衡的挑战，这些方法的有效性有限。
This report demonstrates several methods used to make a self-driving vehicle using a supervised learning algorithm and a forward-facing RGBD camera. The project originally involved research in creating an adversarial attack on the vehicle's model, but due to difficulties with the initial training of the car, the plans were discarded in favor of completing the imitation learning portion of the project. Many approaches were explored, but due to challenges introduced by an unbalanced data set, the approaches had limited effectiveness.
