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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1301–1325 of 6092 papers

TitleStatusHype
Lossless SIMD Compression of LiDAR Range and Attribute Scan SequencesCode1
LRFusionPR: A Polar BEV-Based LiDAR-Radar Fusion Network for Place RecognitionCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous DrivingCode1
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object TrackingCode1
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For DrivingCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving AgentsCode1
MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow EstimationCode1
Dream to Drive with Predictive Individual World ModelCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Domain Adaptation Through Task DistillationCode1
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-drivingCode1
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR DataCode1
M-BEV: Masked BEV Perception for Robust Autonomous DrivingCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
MEBOW: Monocular Estimation of Body Orientation In the WildCode1
Domain Adaptive Object Detection for Autonomous Driving under Foggy WeatherCode1
Meta Adversarial Training against Universal PatchesCode1
CLAD: A realistic Continual Learning benchmark for Autonomous DrivingCode1
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Benchmark Results

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