CARLA longest6

12 papers with code • 1 benchmarks • 1 datasets

longest6 is an evaluation benchmark for sensorimotor autonomous driving methods using the CARLA simulator. It consists of 36 long routes in the publicly available Town 01-06 which, are populated with the maximum traffic density. The benchmark tests level 4 driving capabilities, methods are therefore allowed to train with data from the evaluation towns. Evaluation metrics follow the standard metrics from the CARLA leaderboard 1.0, except that stop sign infractions are not considered.


Most implemented papers

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

autonomousvision/transfuser 31 May 2022

At the time of submission, TransFuser outperforms all prior work on the CARLA leaderboard in terms of driving score by a large margin.

Learning to drive from a world on rails

dotchen/WorldOnRails ICCV 2021

This assumption greatly simplifies the learning problem, factorizing the dynamics into a nonreactive world model and a low-dimensional and compact forward model of the ego-vehicle.

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

autonomousvision/neat ICCV 2021

Efficient reasoning about the semantic, spatial, and temporal structure of a scene is a crucial prerequisite for autonomous driving.

Learning from All Vehicles

dotchen/LAV CVPR 2022

In this paper, we present a system to train driving policies from experiences collected not just from the ego-vehicle, but all vehicles that it observes.

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

OpenPerceptionX/TCP 16 Jun 2022

The two branches are connected so that the control branch receives corresponding guidance from the trajectory branch at each time step.

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

opendilab/InterFuser 28 Jul 2022

Large-scale deployment of autonomous vehicles has been continually delayed due to safety concerns.

PlanT: Explainable Planning Transformers via Object-Level Representations

autonomousvision/plant 25 Oct 2022

Planning an optimal route in a complex environment requires efficient reasoning about the surrounding scene.

Hidden Biases of End-to-End Driving Models

autonomousvision/carla_garage ICCV 2023

End-to-end driving systems have recently made rapid progress, in particular on CARLA.

Coaching a Teachable Student

h2xlab/CaT CVPR 2023

We propose a novel knowledge distillation framework for effectively teaching a sensorimotor student agent to drive from the supervision of a privileged teacher agent.