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 601–650 of 6092 papers

TitleStatusHype
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory PredictionCode1
Event-aided Semantic Scene CompletionCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksCode1
Asynchronous Blob Tracker for Event CamerasCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional NetworksCode1
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous DrivingCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile RobotsCode1
Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal IntegrationCode1
End-to-End Urban Driving by Imitating a Reinforcement Learning CoachCode1
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
End-to-End Lane Marker Detection via Row-wise ClassificationCode1
Empirical Performance Evaluation of Lane Keeping Assist on Modern Production VehiclesCode1
End-to-end Autonomous Driving Perception with Sequential Latent Representation LearningCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local ExplanationsCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
Efficient Risk-Averse Reinforcement LearningCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous DrivingCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
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
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
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
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation LearningCode1
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous DrivingCode1
Dynamic Conditional Imitation Learning for Autonomous DrivingCode1
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous DrivingCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic FusionCode1
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous DrivingCode1
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
DSEC: A Stereo Event Camera Dataset for Driving ScenariosCode1
DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory PredictionCode1
A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future DirectionsCode1
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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