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 1701–1725 of 6092 papers

TitleStatusHype
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic NavigationCode0
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual CuesCode0
Deep Reinforcement Learning framework for Autonomous DrivingCode0
Deep Reinforcement Learning for Autonomous DrivingCode0
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object DetectionCode0
Model-Agnostic Defense for Lane Detection against Adversarial AttackCode0
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and LocalizationCode0
Deep recurrent Gaussian process with variational Sparse Spectrum approximationCode0
Deep Recurrent Gaussian Process with Variational Sparse Spectrum ApproximationCode0
Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal SpaceCode0
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather DataCode0
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive ReorderingCode0
Autonomous Driving Implementation in an Experimental EnvironmentCode0
Make Interval Bound Propagation great againCode0
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D ReconstructionCode0
Marginally calibrated response distributions for end-to-end learning in autonomous drivingCode0
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth EstimationCode0
LoRD: Adapting Differentiable Driving Policies to Distribution ShiftsCode0
Automotive Speed Estimation: Sensor Types and Error Characteristics from OBD-II to ADASCode0
Long Term Motion Prediction Using KeyposesCode0
Loss-Calibrated Approximate Inference in Bayesian Neural NetworksCode0
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing EnvironmentsCode0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point CloudsCode0
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving ScenariosCode0
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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