Motion Planning of an autonomous Vehicle

Abstract

In the world of technology and innovation, every field of knowledge is developing at a rapid pace to match the growing competition. Eventually, the responsibility lies on the engineers to reshape the technical domains accordingly and thus we have shifted our focus to the core wheel, transport. The aim is to alter the idea of traditional mobility in terms of efficiency, reliability and accessibility while ensuring utmost safety and convenience to the people. Therefore, the objective therein is the development of existing autonomous vehicle technology to the level of greater intelligence and reliable driving quality while eradicating the persistent safety risks so the world may truly enter a new era of transportation. Our research will comprehensively discuss the key prospects of executing a fine and practical driving mission of an ego vehicle through mutually shared dynamic environment including other vehicles and pedestrians. We will discuss the pertaining techniques in terms of their effectiveness in motion planning and devise the requisite algorithms to attain the promised results. The idea of improving the existent methods of motion planning will not be feasible without having a detailed comparison and understanding amongst the varying approaches towards the autonomous driving mission. Only then we will be able to develop a sound insight into the strengths and limitations of the proposed methodology. Hence, the ultimate task is to develop a suitable algorithm to cater the path as well as behavioral planning prospects of autonomous driving in the structured environment that should be eventually applicable to the real-world domain with due consideration towards safe, optimal and efficient travelling