RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow
High-quality traffic flow generation is the core module in building simulators for autonomous
driving. However, the majority of available simulators are incapable of replicating traffic …
driving. However, the majority of available simulators are incapable of replicating traffic …
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
High-quality traffic flow generation is the core module in building simulators for autonomous
driving. However, the majority of available simulators are incapable of replicating traffic …
driving. However, the majority of available simulators are incapable of replicating traffic …
Controllable Safety-Critical Closed-loop Traffic Simulation via Guided Diffusion
Evaluating the performance of autonomous vehicle planning algorithms necessitates
simulating long-tail traffic scenarios. Traditional methods for generating safety-critical …
simulating long-tail traffic scenarios. Traditional methods for generating safety-critical …
Behaviorally diverse traffic simulation via reinforcement learning
S Shiroshita, S Maruyama, D Nishiyama… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Traffic simulators are important tools in autonomous driving development. While continuous
progress has been made to provide developers more options for modeling various traffic …
progress has been made to provide developers more options for modeling various traffic …
LimSim: A long-term interactive multi-scenario traffic simulator
With the growing popularity of digital twin and autonomous driving in transportation, the
demand for simulation systems capable of generating high-fidelity and reliable scenarios is …
demand for simulation systems capable of generating high-fidelity and reliable scenarios is …
Force-based heterogeneous traffic simulation for autonomous vehicle testing
Recent failures in real-world self-driving tests have suggested a paradigm shift from directly
learning in real-world roads to building a high-fidelity driving simulator as an alternative …
learning in real-world roads to building a high-fidelity driving simulator as an alternative …
Learning to simulate vehicle trajectories from demonstrations
Traffic simulations can help to explore novel and efficient transportation solutions that
overcome traffic problems such as traffic jams and road planning. Traditional traffic …
overcome traffic problems such as traffic jams and road planning. Traditional traffic …
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models
Traffic simulation is an essential tool for transportation infrastructure planning, intelligent
traffic control policy learning, and traffic flow analysis. Its effectiveness relies heavily on the …
traffic control policy learning, and traffic flow analysis. Its effectiveness relies heavily on the …
3d traffic simulation for autonomous vehicles in unity and python
Over the recent years, there has been an explosion of studies on autonomous vehicles.
Many collected large amount of data from human drivers. However, compared to the tedious …
Many collected large amount of data from human drivers. However, compared to the tedious …
Cblab: Scalable traffic simulation with enriched data supporting
Traffic simulation provides interactive data for the optimization of traffic policies. However,
existing traffic simulators are limited by their lack of scalability and shortage in input data …
existing traffic simulators are limited by their lack of scalability and shortage in input data …