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Nov 7, 2022 · RITABackend is built to support vehicle-wise control and provide traffic generation models from real-world datasets, while RITAKit is developed ...
We demonstrate RITA's capacity to create diversified and high-fidelity traffic simulations in several highly interactive highway scenarios. The experimental ...
The first module, RITABackend, incorporates machine learning models built from real-world datasets, including vehicle control and guided traffic generation mod-.
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. from www.researchgate.net
Nov 7, 2022 · We demonstrate RITA's capacity to create diversified and high-fidelity traffic simulations in several highly interactive highway scenarios. The ...
High-quality traffic flow generation is the core module in building simulators for autonomous driving. However, the majority of available simulators are ...
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RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. from www.semanticscholar.org
The LGSVL Simulator is introduced which is a high fidelity simulator for autonomous driving which provides end-to-end, full-stack simulation which is ready ...
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow ... RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.
LimSim is a Long-term Interactive Multi-scenario traffic Simulator, which aims to provide a continuous simulation capability under the complex urban road ...
Missing: RITA: Boost
This project utilizes a VR vehicle simulator within Unity Game Engine to study human responses to various accidental scenarios in simulated traffic, ...
Missing: RITA: Interactive