SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic

Understand

Autonomous driving in an unregulated urban crowd is an outstanding challenge, especially, in the presence of many aggressive, high-speed traffic participants.

• This paper presents SUMMIT, a high-fidelity simulator that facilitates the development and testing of crowd-driving algorithms.
• By leveraging the open-source OpenStreetMap map database and a heterogeneous multi-agent motion prediction model developed in our earlier work, SUMMIT simulates dense, unregulated urban traffic for heterogeneous agents at any worldwide locations that OpenStreetMap supports.
• SUMMIT is built as an extension of CARLA and inherits from it the physics and visual realism for autonomous driving simulation.