Autonomous driving paper index

Simulation of Steering a Self-Driving Car Using 1) PID Controller 2) Neural Network

2019-11-01 · 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)

self-driving vehicleself-driving carself-drivingcontrol

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.

5.0Engineering value
7.0Research novelty
5.0Business relevance

Links and sources

Need this topic turned into a technical roadmap?

Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.

Request B2B research

Comments

No comments yet. Be the first to share your thoughts on this paper.
Login or register to leave a comment