Self-driving and driver relaxing vehicle

Autor: Azam Rafique Memon, Muzamil Ahmed, Wajiha Shah, Qudsia Memon, Shahzeb Ali
Rok vydání: 2016
Předmět:
Zdroj: 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI).
Popis: In the modern era, the vehicles are focused to be automated to give human driver relaxed driving. In the field of automobile various aspects have been considered which makes a vehicle automated. Google, the biggest network has started working on the self-driving cars since 2010 and still developing new changes to give a whole new level to the automated vehicles. In this paper we have focused on two applications of an automated car, one in which two vehicles have same destination and one knows the route, where other don't. The following vehicle will follow the target (i.e. Front) vehicle automatically. The other application is automated driving during the heavy traffic jam, hence relaxing driver from continuously pushing brake, accelerator or clutch. The idea described in this paper has been taken from the Google car, defining the one aspect here under consideration is making the destination dynamic. This can be done by a vehicle automatically following the destination of another vehicle. Since taking intelligent decisions in the traffic is also an issue for the automated vehicle so this aspect has been also under consideration in this paper.
Databáze: OpenAIRE