CARLA MAP Leaderboard
6 papers with code • 1 benchmarks • 1 datasets
https://leaderboard.carla.org/leaderboard/
CARLA
Most implemented papers
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
yueatsprograms/ttt_cifar_release
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In this paper, we propose Test-Time Training, a general approach for improving the performance of predictive models when training and test data come from different distributions.
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
In this paper, we present a Reinforcement Learning (RL) based methodology to DEtect and FIX (DeFIX) failures of an Imitation Learning (IL) agent by extracting infraction spots and re-constructing mini-scenarios on these infraction areas to train an RL agent for fixing the shortcomings of the IL approach.
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles
We present Pylot, a platform for autonomous vehicle (AV) research and development, built with the goal to allow researchers to study the effects of the latency and accuracy of their models and algorithms on the end-to-end driving behavior of an AV.
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
Kin-Zhang/mmfn
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Inspired by the fact that humans use diverse sensory organs to perceive the world, sensors with different modalities are deployed in end-to-end driving to obtain the global context of the 3D scene.
Hidden Biases of End-to-End Driving Models
autonomousvision/carla_garage
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ICCV 2023
End-to-end driving systems have recently made rapid progress, in particular on CARLA.
