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 651–700 of 6092 papers

TitleStatusHype
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile RobotsCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous DrivingCode1
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
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
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional NetworksCode1
Exploring Attention GAN for Vehicle Motion PredictionCode1
End-to-end Autonomous Driving Perception with Sequential Latent Representation LearningCode1
Empirical Performance Evaluation of Lane Keeping Assist on Modern Production VehiclesCode1
Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic TasksCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
End-to-End Lane Marker Detection via Row-wise ClassificationCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoVCode1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object DetectionCode1
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian DetectionCode1
A Unified Probabilistic Approach to Traffic Conflict DetectionCode1
Edge Federated Learning Via Unit-Modulus Over-The-Air ComputationCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Efficient Risk-Averse Reinforcement LearningCode1
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous DrivingCode1
A Unified Query-based Paradigm for Point Cloud UnderstandingCode1
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation LearningCode1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
Dynamic Conditional Imitation Learning for Autonomous DrivingCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous DrivingCode1
DVI: Depth Guided Video Inpainting for Autonomous DrivingCode1
A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future DirectionsCode1
3D Object Detection from Images for Autonomous Driving: A SurveyCode1
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation MapsCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory PredictionCode1
Event-aided Semantic Scene CompletionCode1
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic FusionCode1
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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