Strategical Implementation of Autonomous Vehicle Navigation System

Accidents involving motor vehicles are on the increase as our culture grows more technologically advanced. Even with mobile phones, in-car entertainment systems, higher traffic, and improved road infrastructure, the majority of traffic accidents are caused by human error on the part of the driver. Accidents caused by humans may be reduced by technology, which would be beneficial to road safety. The introduction of driverless automobiles may result in increased road safety. Everyone in the car is putting in a lot of effort to achieve this goal. Automakers Audi, BMW, Ford, Google, General Motors, Tesla, and Volkswagen, together with Volvo, are doing research and development on completely autonomous vehicles. The “Waymo” product from Google is well-known. This task involved the creation of a miniature prototype of an autonomous vehicle based on an Arduino Uno. Present study able to determine the path by graphing the starting point and ending point on Google Maps. From the KML route, Convertcsv.com is able to extract both the latitude and longitude coordinates. Following that, the coordinates were entered into the code for the Arduino uno. Arduino Uno is used along with AGPS sensors to track the realtime movement along with the car's latitude and longitude coordinates and then upload them to the things peak cloud. AGPS sensors are necessary for today's smartphones. The Arduino Uno establishes a connection to the Things peak cloud by means of the esp8266 Wi-Fi module. It then retrieves the most recent data and computes the angle and distance at which our autonomous car should travel based on the latitudes and longitudes of the gmap route that have been stored in an array.