TORCS Dataset Papers With Code
Por um escritor misterioso
Descrição
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.
Machine Learning Datasets
BDCC, Free Full-Text
Autonomous Driving
Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis - ScienceDirect
Traffic Simulation and Autonomous Driving Experiment in VIPLE
PDF] Distributed Approach for implementation of A3C on TORCS
deep-autonomous-driving-papers/README.md at master · daviddao/deep-autonomous-driving-papers · GitHub
Adversarial Reinforcement Learning for Steering Cars from Virtual to Real World
admin_hci – Page 2 – HCI@KAIST
Frontiers Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation
TORCS screen-shot of DRL based lane keeping
PDF] Distributed Approach for implementation of A3C on TORCS
TFW: Annotated Thermal Faces in the Wild Dataset Dataset
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