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 20762100 of 6092 papers

TitleStatusHype
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 Score79.95Unverified
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