Abstract:
The Autonomous Vehicle (AV) is an intelligent cognitive engineering system that processes streams of observations from various onboard sources, such as cameras, ultrasonic sensors, GPS units, radars, LiDARs, and/or inertial sensors, to guide itself automatically. This allows the AV to avoid collisions, park itself, and navigate to its destination without human intervention. Every day, the most current vehicle series makes little but significant improvements to their vehicles. The most important step in overcoming difficulties with this project is the design of the routes that will be taken. The most important aspect is broken down in this article, and it may be possible to get a superior solution for transportation as well as many other sectors that may help the society in a significant amount with services such as an advanced driving assistance system (ADAS). Within the scope of the project, we will make use of a GPS signal to ascertain the destination in order to enable AV to automatically ascertain the route. An ultrasonic sensor will detect whether or not there is an obstacle in the way of the vehicle. If it senses an impediment in front of the sensor, such as another car, a pedestrian, or another item, the vehicle will be aware of it and make an effort to avoid colliding with it. Using the instructions for the Arduino and the raspberry pi, it will identify the alternate path that leads to its target that is the shortest. There are a variety of techniques that may be used in order to correctly locate the destination. Some of these strategies include simultaneous localization and mapping (SLAM). Planning your route using GPS technology might be one of the most efficient methods to go to any location. If the route planning is successful, there is still a chance that the issue can be resolved. The fundamental objective of this article is to map out the route that AV will take so that we may successfully complete the mission.
