SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 951975 of 6092 papers

TitleStatusHype
Curricular Subgoals for Inverse Reinforcement LearningCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous DrivingCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D GaussianCode1
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye ViewCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic SegmentationCode1
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task LearningCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A SurveyCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic SegmentationCode1
Leveraging Temporal Information for 3D Detection and Domain AdaptationCode1
Lidar Annotation Is All You NeedCode1
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and ChallengesCode1
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision ModelsCode1
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic ScenesCode1
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLACode1
Improving the Generalization of End-to-End Driving through Procedural GenerationCode1
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic ScenariosCode1
Learn-to-Race: A Multimodal Control Environment for Autonomous RacingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified