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

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Showing 1201–1250 of 6092 papers

TitleStatusHype
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World AttacksCode1
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural NetworkCode1
Guiding Deep Learning System Testing using Surprise AdequacyCode1
CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionCode1
HEAL-SWIN: A Vision Transformer On The SphereCode1
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic FusionCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous DrivingCode1
Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehiclesCode1
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation ModelsCode1
Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban EnvironmentsCode1
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous DrivingCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
DriveTester: A Unified Platform for Simulation-Based Autonomous Driving TestingCode1
Homography Loss for Monocular 3D Object DetectionCode1
Driving Style Alignment for LLM-powered Driver AgentCode1
CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late HybridizationCode1
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion GenerationCode1
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR MapsCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
Human Performance Capture from Monocular Video in the WildCode1
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving ScenesCode1
DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous DrivingCode1
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching ProcessCode1
CLRKDNet: Speeding up Lane Detection with Knowledge DistillationCode1
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative PerceptionCode1
A Review and Comparative Study on Probabilistic Object Detection in Autonomous DrivingCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For DrivingCode1
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A SurveyCode1
Improved Deep Point Cloud Geometry CompressionCode1
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous DrivingCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
Instruct Large Language Models to Drive like HumansCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
Interaction-Aware Planning With Deep Inverse Reinforcement Learning for Human-Like Autonomous Driving in Merge ScenariosCode1
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving AgentsCode1
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement LearningCode1
Dream to Drive with Predictive Individual World ModelCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Domain Adaptation Through Task DistillationCode1
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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