The primary concept of a connected automobile is to provide helpful information to a driver or a vehicle so that they may make better decisions and drive safely. The term “connected vehicle” does not imply that the car is making decisions for the driver. Instead, it gives the driver information, such as how to avoid potentially risky circumstances. A constant representation of the surrounding environment and the prediction of possible changes to the surrounding are two of the major objectives of any machine learning system in an autonomous vehicle. These tasks can be divided into 4 parts: object localization and prediction of movement; object Identification or recognition; object classification; object detection.