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CARLA longest6
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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.
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CaRL: Learning Scalable Planning Policies with Simple Rewards
InteractionNet: Joint Planning and Prediction for Autonomous Driving with Transformers
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving
Coaching a Teachable Student
Hidden Biases of End-to-End Driving Models
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
PlanT: Explainable Planning Transformers via Object-Level Representations
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Learning from All Vehicles
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Learning to drive from a world on rails
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