TORCS Dataset Papers With Code

TORCS (The Open Racing Car Simulator) is a driving simulator. It is capable of simulating the essential elements of vehicular dynamics such as mass, rotational inertia, collision, mechanics of suspensions, links and differentials, friction and aerodynamics. Physics simulation is simplified and is carried out through Euler integration of differential equations at a temporal discretization level of 0.002 seconds. The rendering pipeline is lightweight and based on OpenGL that can be turned off for faster training. TORCS offers a large variety of tracks and cars as free assets. It also provides a number of programmed robot cars with different levels of performance that can be used to benchmark the performance of human players and software driving agents. TORCS was built with the goal of developing Artificial Intelligence for vehicular control and has been used extensively by the machine learning community ever since its inception.

Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data

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PDF] Distributed Approach for implementation of A3C on TORCS

Yet Another Driving Simulator OpenROUTS3D: The Driving Simulator for Teleoperated Driving

SUMMIT Dataset Papers With Code

PDF) The WCCI 2008 simulated car racing competition

Target and Nontarget Screening of Organic Chemicals and Metals in Recycled Plastic Materials

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Learning a Driving Simulator – arXiv Vanity

PDF) Whole genome sequence analysis of blood lipid levels in >66,000 individuals

Paper Review: LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval – Andrey Lukyanenko

PDF) Securing Future Autonomous & Connected Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward

PDF] Distributed Approach for implementation of A3C on TORCS