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Autonomous vehicle technologies have been rapidly increasing in recent years due to progress in sensing, translation, speech, computer vision and object recognition software and hardware. As early as four years ago, a range of big corporations confirmed they will get self-driving vehicles on the road by 2020. At the moment, industry experts suggest we can go out and buy a self-driving car for more than 10 years [1]. A current approach in the field of self-driving vehicles is to try to replace the operator with cameras, sensors and computers using with artificial intelligence (AI). It is easy, however, to see where companies invest their money and where the vehicles, they test are genuine rolling labs equipped with radar, LIDAR, ultrasound sensors, cameras, vehicle dynamic sensors, accessories they also need steering, accelerating and braking control equipment. In addition, they need a machine to operate the AI program fast enough. Many training datasets is needed is an essential part of the autonomous vehicle issue. Showing trillion of hours of real time driving footage is the best way to train an autonomous vehicle and use it to teach good driving behavior to the machine. Current machine learning's models are very good if its train have a lot of data, and badly when it trains by a little bit. But data collection is costly for autonomous vehicle [2]. Autonomous vehicle has a significant advantage in enhancing road safety and thereby improve advanced mobility technologies to encourage the efficient usage of everyday commuters. We still need self-driving cars currently becoming to be able to drive hand-driven cars. Self-driving technology is still not possible until other vehicles on the highway are equally authorized. Such vehicles must also have features that authorize them, much like all manually-operated cars, to comply with traffic laws. The ability to identify the stop point of road blockers is a key feature of the autonomous vehicles of today with Advanced Driver (AD). To see a traffic rule as a stop, understand how far and then make the decision to slow down, is not so straightforward for a computer as to make a human being stop within 5 meters of a stop. This paper is an attempt to use computer vision AB ST R ACT

Real Time Road Blocker Detection and Distance Calculation for Autonomous Vehicle Based on Camera Vision