Effective utilization and analysis of ros on embedded platform for implementing autonomous car vision and navigation modules

Abstract

In the last few decades, the mobile robotic field has witnessed an incredible progress in the field of development. It finds application in different areas like space exploration, military, intelligent transportation, medical areas, agriculture and in the field of entertainment. Hence, the need for a practical integration tool is necessary in the field of robotics research. Nowadays, the main problems relating to different engineering applications are the high computational time requirement and the power related issues. To use the robots in real-time applications, the output should obtain within a fraction of seconds. We need real-time robots having the capability to respond within a limited amount of time. An autonomous car, which is also called a driver-less car is a vehicle, that is skilled of sensing its surroundings and can navigate without any human input. Self-driving cars have become a cutting-edge research topic in the robotics automation domain. The complexity associated with modelling, computation, implementation of various functionality hindered the development of self-driving cars in academia and research. The ROS gave an easy platform, where we can integrate and test various modules of robotics and automation. This paper deals with the effective utilization of ROS in an embedded platform to implement self-driving cars tasks like vision and navigation.