An Objective Assessment of the Utility of a Driving Simulator for Low Mu Testing

12/07/2018
by   Richard Romano, et al.
0

Driving simulators can be used to test vehicle designs earlier, prior to building physical prototypes. One area of particular interest is winter testing since testing is limited to specific times of year and specific regions in the world. To ensure that the simulator is fit for purpose, an objective assessment is required. In this study a simulator and real world comparison was performed with three simulator configurations (standard, no steering torque, no motion) to assess the ability of a utility triplet of analyses to be able to quantify the differences between the real world and the different simulator configurations. The results suggest that the utility triplet is effective in measuring the differences in simulator configurations and that the developed Virtual Sweden environment achieved rather good behavioural fidelity in the sense of preserving absolute levels of many measures of behaviour. The main limitation in the simulated environment seemed to be the poor match of the dynamic lateral friction limit on snow and ice when compared to the real world.

READ FULL TEXT

page 1

page 3

page 4

page 5

page 7

page 11

research
09/12/2019

Compact 3 DOF Driving Simulator using Immersive Virtual Reality

A driving simulator was created using commercially available 3 degree of...
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
03/07/2020

A machine learning environment for evaluating autonomous driving software

Autonomous vehicles need safe development and testing environments. Many...
research
12/21/2021

Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems

Safe deployment of self-driving cars (SDC) necessitates thorough simulat...
research
12/22/2022

Vehicle in Virtual Environment (VVE) Method

Autonomous vehicle (AV) algorithms need to be tested extensively in orde...
research
08/04/2020

Stochastic Grounded Action Transformation for Robot Learning in Simulation

Robot control policies learned in simulation do not often transfer well ...
research
01/09/2021

Investigation by Driving Simulation of Tractor Overturning Accidents Caused by Steering Instability

Overturning tractors are the leading cause of fatalities on farms. Steer...

Please sign up or login with your details

Forgot password? Click here to reset