CARLA longest6

longest6 is an evaluation benchmark for sensorimotor autonomous driving methods using the CARLA 0.9.10.1 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.

Benchmarks

Libraries

Datasets

Subtasks

Most implemented papers

Learning to drive from a world on rails

Content

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

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

Learning from All Vehicles

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

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

Coaching a Teachable Student

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

Hidden Biases of End-to-End Driving Models

PlanT: Explainable Planning Transformers via Object-Level Representations