Application of Neuroevolution in Autonomous Cars

06/26/2020
by   Sainath G, et al.
0

With the onset of Electric vehicles, and them becoming more and more popular, autonomous cars are the future in the travel/driving experience. The barrier to reaching level 5 autonomy is the difficulty in the collection of data that incorporates good driving habits and the lack thereof. The problem with current implementations of self-driving cars is the need for massively large datasets and the need to evaluate the driving in the dataset. We propose a system that requires no data for its training. An evolutionary model would have the capability to optimize itself towards the fitness function. We have implemented Neuroevolution, a form of genetic algorithm, to train/evolve self-driving cars in a simulated virtual environment with the help of Unreal Engine 4, which utilizes Nvidia's PhysX Physics Engine to portray real-world vehicle dynamics accurately. We were able to observe the serendipitous nature of evolution and have exploited it to reach our optimal solution. We also demonstrate the ease in generalizing attributes brought about by genetic algorithms and how they may be used as a boilerplate upon which other machine learning techniques may be used to improve the overall driving experience.

READ FULL TEXT

page 9

page 10

research
01/13/2021

A Survey on Simulators for Testing Self-Driving Cars

A rigorous and comprehensive testing plays a key role in training self-d...
research
06/17/2021

KIT Bus: A Shuttle Model for CARLA Simulator

With the continuous development of science and technology, self-driving ...
research
01/16/2019

GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control in Autonomous Driving

Current state of the art solutions in the control of an autonomous vehic...
research
04/19/2018

Vehicle Communication Strategies for Simulated Highway Driving

Interest in emergent communication has recently surged in Machine Learni...
research
11/06/2020

Motion Prediction on Self-driving Cars: A Review

The autonomous vehicle motion prediction literature is reviewed. Motion ...
research
06/05/2023

AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars

The adoption of self-driving cars will certainly revolutionize our lives...
research
10/06/2021

The Impact of Blocking Cars on Pathloss Within a Platoon: Measurements for 26 GHz Band

Platooning is considered to be one of the possible prospective implement...

Please sign up or login with your details

Forgot password? Click here to reset