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 2051–2100 of 6092 papers

TitleStatusHype
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video UnderstandingCode0
A Review on Deep Learning Techniques Applied to Semantic SegmentationCode0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
CoA: Chain-of-Action for Generative Semantic LabelsCode0
FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object DetectionCode0
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving ScenariosCode0
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction NetworkCode0
G2D: from GTA to DataCode0
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCoCode0
A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar DataCode0
Cloud Dictionary: Sparse Coding and Modeling for Point CloudsCode0
Closing the Loop: Motion Prediction Models beyond Open-Loop BenchmarksCode0
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped ActivationCode0
Hierarchical Potential-based Reward Shaping from Task SpecificationsCode0
Full-Resolution Residual Networks for Semantic Segmentation in Street ScenesCode0
From Coarse to Fine: Robust Hierarchical Localization at Large ScaleCode0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingCode0
Spatio-Temporal Action Graph NetworksCode0
Free Space Estimation using Occupancy Grids and Dynamic Object DetectionCode0
Classification of Time-Series Data Using Boosted Decision TreesCode0
Focal Loss in 3D Object DetectionCode0
FogGuard: guarding YOLO against fog using perceptual lossCode0
Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionCode0
Following the Clues: Experiments on Person Re-ID using Cross-Modal IntelligenceCode0
Architecturing Binarized Neural Networks for Traffic Sign RecognitionCode0
FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point CloudsCode0
3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage GenerationCode0
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under UncertaintyCode0
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagesCode0
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
From perception to control: an autonomous driving system for a formula student driverless carCode0
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual LocalizationCode0
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual LocalizationCode0
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and SegmentationCode0
Exploring the Limitations of Behavior Cloning for Autonomous DrivingCode0
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition ModelsCode0
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service InferenceCode0
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density NetworksCode0
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image CompositingCode0
AD-H: Autonomous Driving with Hierarchical AgentsCode0
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical SystemsCode0
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between AgentsCode0
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the WorstCode0
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed PredictionCode0
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban ScenesCode0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
FIR-based Future Trajectory Prediction in Nighttime Autonomous DrivingCode0
Exploring Adversarial Attacks on Neural Networks: An Explainable ApproachCode0
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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