An autonomous driverless car: an idea to overcome the urban road challenges

Abstract

This paper discusses an autonomous robotically handled urban driving vehicle. The approach presents here the number of features as innovations, which are well grounded in past re-search on autonomous driving and mobile robotics, such as mapping, tracking, global and local planning, probabilistic localization. The results of the Urban Challenge, along with prior experiments carried out by the research team, suggest that an autonomous vehicle is capable of navigating in other vehicles and human traffic. It successfully demonstrated merging, intersection handling, parking lot navigation, lane changes, and autonomous U-turns. These innovations include the obstacle/curb detection method, the vehicle tracker, the various motion planners, and the behavioural hierarchy that addresses a broad range of traffic situations. Together, these methods provide for a robust system for urban in-traffic autonomous.

Keywords: Self driving Google-Car, LIDAR Sensor, Potion Sensor & Radar Sensor.