Program control of obstacle avoidance and bridging cars at different angles

Abstract

This design aims to solve the problem of being unable to move forward due to obstacles during earthquakes. Through this program, unmanned vehicles can adjust their angles by identifying obstacles. This article uses Arduino software for programming, achieving automatic recognition of programs from different angles. Thus achieving precise angle control and exploring the differences in programs from different perspectives. Compared to traditional manual driving, unmanned obstacle avoidance vehicles can reduce risks and accidents, thereby improving road safety. In the event of an earthquake, there may be obstacles such as building collapse and accumulation on the road, which brings difficulties and risks to the driving of vehicles. Through this design, unmanned vehicles can use sensors such as lasers or cameras to perceive the surrounding environment in real-time, and use algorithms to determine and recognize the position and shape of obstacles. Once an obstacle is found, the unmanned vehicle will automatically adjust its angle to bypass or cross the obstacle, ensuring the safe driving of the vehicle. The design uses Arduino software for programming, which is an open source electronic prototype platform with easy to learn and use features. By programming, unmanned vehicles can be accurately controlled based on different angles and obstacle shapes. This can improve the maneuverability and adaptability of unmanned vehicles, enabling them to flexibly respond to various road conditions and obstacles.