The Summary of Artificial Intelligence Vehicle Obstacle Avoidance System

Shuo Ma

doi:10.54097/pnt1kq74

Authors

Shuo Ma

DOI:

https://doi.org/10.54097/pnt1kq74

Keywords:

History of development; Automatic obstacle avoidance technology; Technology introduction; Hardware and software development.

Abstract

With the rapid increase in the global number of vehicles, frequent traffic accidents and urban traffic congestion have become urgent social problems that need to be solved. As an innovative solution, autonomous driving technology is gradually demonstrating its potential, and in this cutting-edge field, automatic obstacle avoidance technology is undoubtedly the core. It deeply integrates advanced sensing technology and intelligent control algorithms, aiming to enable vehicles to quickly make safe and accurate evasive actions when encountering potential obstacles. The evolution of automatic obstacle avoidance technology has gone beyond simple functional pursuits and shifted towards deep integration of various cutting-edge technologies to optimize obstacle avoidance efficiency. In summary, the innovation and development of automatic obstacle avoidance technology are leading the technological revolution in the field of autonomous driving, not only profoundly changing the mode of human vehicle interaction, but also having a profound impact on the vision of future smart city transportation systems.

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References

[1] Zhao,M.R.(2023)Research on Automotive Braking System Based on Active Obstacle Avoidance.Automotive Test Report, 11:16-18.

[2] Chen,H.,Xv,J.B.(2014)Trends in the Development of Intelligent Automotive Technology.China Integrated Circuit23, 23(11): 64-70

[3] Li,F.(2020)Analysis of Communication Technology for Connected Vehicles.Digital Communication World, 182 (02): 87.

[4] Wang,R.B.,You,F., Cui,G.J., et al.(2004)Road recognition of high-speed intelligent vehicles based on computer vision. Computer Engineering and Applications,26:18-21.

[5] Bai,L.L., Han,T.P.(2015)Research on the Application of Big Data in Intelligent Transportation Systems.Computer Knowledge and Technology,11(10):204-206.

[6] Yue,J.M.,Yuan,L.Q.(2013)Big data analysis in the development of intelligent transportation. Productivity Research, No.251 (06):137-138+165.

[7] Ding,X.C.(2019)The Application of Big Data Technology in the Construction of Intelligent Transportation Platforms. Computer Knowledge and Technology,15(16):178-179

[8] An,L.F., Chen,T., Cheng,A.G.,et al.(2017)Simulation of Intelligent Vehicle Path Planning Based on Artificial Potential Field Algorithm.automotive engineering,39(12):1451-1456.

[9] Fu ,X.X.,Jiang,Y.H.,Huang,D.X.,et al.(2015)A new real-time intelligent vehicle trajectory planning method.Control and decision-making, 30(10):1751-1758.

[10] Gao,P.,Cheng,W.H.(2020)A Brief Discussion on Automotive ABS Braking System. Internal combustion engine and accessories, No.301(01):150-151

[11] Li,X.D.,He,L.,Ye,W.,et al.(2020)Design of TCS Sliding Mode Controller for Electric Vehicles.computer simulation, 37(02): 144-148+230.

[12] Yang,C.,Song,J.,Li,L.,et al.(2008)Optimal driving torque control in traction control system.Journal of Tsinghua University (Natural Science Edition),(11):1989-1992.

[13] Han,T.J.(2016)Design of PWM closed-loop control system for DC motor based on MC9S12XS128.Machine Tool & Hydraulics, 44(07):109-111.