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 701725 of 6092 papers

TitleStatusHype
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering BandwidthCode1
A Unified Query-based Paradigm for Point Cloud UnderstandingCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous DrivingCode1
Delta Descriptors: Change-Based Place Representation for Robust Visual LocalizationCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
Human-Centric Autonomous Systems With LLMs for User Command ReasoningCode1
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object DetectorsCode1
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place SolutionCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous DrivingCode1
Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance FieldsCode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
3D Object Detection from Images for Autonomous Driving: A SurveyCode1
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation MapsCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement LearningCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
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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