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 501–550 of 6092 papers

TitleStatusHype
Fast Neural Scene FlowCode1
GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and WhistlesCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
GUARD: A Safe Reinforcement Learning BenchmarkCode1
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local ExplanationsCode1
A Survey of World Models for Autonomous DrivingCode1
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile RobotsCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Event-aided Semantic Scene CompletionCode1
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory PredictionCode1
Asynchronous Blob Tracker for Event CamerasCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional NetworksCode1
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
An Efficient Domain-Incremental Learning Approach to Drive in All Weather ConditionsCode1
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDARCode1
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal IntegrationCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
End-to-End Urban Driving by Imitating a Reinforcement Learning CoachCode1
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous DrivingCode1
Exploring Attention GAN for Vehicle Motion PredictionCode1
Anchor-free Small-scale Multispectral Pedestrian DetectionCode1
End-to-end Autonomous Driving Perception with Sequential Latent Representation LearningCode1
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving ModelsCode1
Empirical Performance Evaluation of Lane Keeping Assist on Modern Production VehiclesCode1
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
4DenoiseNet: Adverse Weather Denoising from Adjacent Point CloudsCode1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
Efficient Risk-Averse Reinforcement LearningCode1
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoVCode1
EDA: Evolving and Distinct Anchors for Multimodal Motion PredictionCode1
Edge Federated Learning Via Unit-Modulus Over-The-Air ComputationCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
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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