In every industry, every application is turning into autonomous. In the automobile industry, the autonomous based development goes very popular. For autonomous applications, we can use LIDAR, camera or other sensors for Navigating the Vehicle.
In this project, RP Lidar is interfaced with the Raspberry pi to localize the object. By using python programming, the application is developed to drive the vehicle based on the object in the environment. In this project, the Navigation system is deployed without using ROS(Robotic Operating System).
In the existing system, the object in the environment gets located using the Ultrasonic sensor or IR sensor and the decision will be made to drive the car without colliding the obstacle.
In this proposed system, RP Lidar is used. It is 360-degree lidar, which can localize the object around 360 degrees of the vehicle. Then the vehicle is driven based on the obstacle in the environment.
Self Navigating Robot
In this project, RPLidar is interfaced with the Raspberry Pi via USB. The driver circuit will be interfaced with the Raspberry Pi to drive the vehicle.
This project initially takes the Laser scan from the RP Lidar, 360 degrees. It returns the distance and angle of the Lidar scan. First, it initializes the Lidar, to monitor the 180 degrees of car, then the object present on a certain angle, it makes the decision to choose the right angle to turn. Then the vehicle will be moved forward on the available free space.
- Raspbian OS with libraries installed
- SD Card Formatter
- Etcher/Win32 Disk imager
In this project, the Navigation system is developed without using ROS(Robotic operating system). If u need with ROS click here.