Autonomous driving paper index
Simulation of Steering a Self-Driving Car Using 1) PID Controller 2) Neural Network
One-line summary
In this paper, we present a simulator that tests the self-driving car's CNN model in a virtual environment.
Engineering notes
Key topics: self-driving vehicle, self-driving car, self-driving, control. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Over the last few years, self-driving vehicles have expanded dramatically. They look promising in decreasing traffic accidents and congestion on roads. In order for this approach to work, simulations tend to be a cheaper, more efficient, and a safer way than live testing. In this paper, we present a simulator that tests the self-driving car's CNN model in a virtual environment. To avoid the hassle of collecting huge amount of training and testing data for preliminary testing, we also propose a method to collect data (images, steering value and throttle value) using PID controllers in the virtual environment itself.
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