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Real-World Driving Dataset
The dataset used in this paper is a real-world driving dataset, which is used to evaluate the performance of the proposed traffic scene generation framework. -
TrafficGen
The TrafficGen dataset is a collection of traffic scenarios generated using a generative model. -
Bi-Level Imitation Learning System
The Bi-Level Imitation Learning System (BITS) is a model that utilizes a two-tiered imitation learning strategy for traffic prediction tasks. -
Conditional Traffic Generation
The Conditional Traffic Generation (CTG) model is a state-of-the-art model for controllable traffic simulation.
