INTELLIGENT OBSTACLE-AVOIDING ROBOT CAR WITH RASPBERRY PI

Abstract

For robotic cars, real-time obstacle detection and 
avoidance pose significant challenges. The design 
and execution of a robotic car with real-time obstacle 
recognition and avoidance have been exhibited, along 
with the hardware, software, and communication 
contexts. The Raspberry Pi platform, WiFi 
technologies, and web apps have all been used in the 
system's implementation. This robotic device has 
been developed using web-based interactivity. The 
Raspberry Pi acts as the robot's brain. The robot is 
composed of a large number of hardware 
components, such as voltage regulators, ultrasonic 
sensors, DC motors, relays, capacitors, resistors, and 
transistors. It also has the software component that 
uses web applications. Through a web application, 
the user of the robotic automobile can select the 
preferred direction or mode. The robot can be left in 
autonomous mode, allowing the vehicle to navigate 
on its own, or it can be configured to move in unison 
with the user's intelligent device. The robot can now 
detect life and avoid the obstruction as a result. 
With the help of live detectable sensors, this project 
seeks to alert military personnel and civilians about 
potential terrorist attacks in military areas..