基于机器学习的无人驾驶技术研究

Research of Driverless Technology Based on Machine Learning

随着芯片计算能力的大幅度提升,以深度学习为代表的机器学习技术成为人工智能领域的主要发展方向。通过对机器学习领域的研究背景和发展现状的介绍,以及无人驾驶领域应用情况的分析,讨论了机器学习技术在车辆场景感知方面所带来的性能提升和车载通信技术的成熟,并预测了无人驾驶技术所带来的产业技术革命,肯定了其在未来发展方向上的重要性。

Along with the significant increase in the computing power of chip,the machine learning technology mainly including deep learning has become the main development direction in the field of artificial intelligence.This paper introduces the research background and development status of machine learning field,and analyzes its application in the drivcrless application.Based on the introduction and analysis,this paper discusses the performance improvement in vehicle scene perception thanks to machine learning technology,and the maturity of vehicular communication technology.It is predicted that the driverless technology will bring the industrial technology revolution and be important in future development.