Enhanced Traffic Simulation for Improved Realism in Driving Simulators
ACM Conference on Automotive User Interfaces, Toronto, Canada, September 2018.
The ability to monitor and detect potentially dangerous behaviour in
surrounding traffic is vital for the development of intelligent vehicles.
However, data collection for these kinds of scenarios is difficult in real-life,
and a driving simulator therefore becomes an important substitute.
In this paper we present an approach to enhance driving simulators.
We experiment on an open source development platform, which is used to test
real-life use cases within a simulated vehi- cle environment. We propose replacing
pre-programmed traffic dynamics with real driving data recorded from human drivers
in the same environment. This enhances the engagement of the host driver in the more
realistically simulated traffic scenario. Signal lights and indicator sounds are also
integrated to enrich the driver’s sensation. Our preliminary quantitative and
qualitative evaluation shows that our enhanced traffic simulation results in an
improvement to the driver’s perception of the realism of the driving simulator.
A short clip showing part of the system in use:
Available here: PDF