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 4001–4050 of 6092 papers

TitleStatusHype
End-to-End on-device Federated Learning: A case study—0
End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023—0
End-to-End Policy Gradient Method for POMDPs and Explainable Agents—0
Predictive Planner for Autonomous Driving with Consistency Models—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving—0
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering—0
End to End Video Segmentation for Driving : Lane Detection For Autonomous Car—0
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework—0
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors—0
EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency—0
Engineering Education in the Age of Autonomous Machines—0
Engineering Safety Requirements for Autonomous Driving with Large Language Models—0
Enhanced Automotive Object Detection via RGB-D Fusion in a DiffusionDet Framework—0
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation—0
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation—0
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model—0
Enhancing Autonomous Driving Safety Analysis with Generative AI: A Comparative Study on Automated Hazard and Risk Assessment—0
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications—0
Enhancing Autonomous Driving Safety with Collision Scenario Integration—0
Evaluation and Improvement of Fault Detection for Large Language Models—0
Enhancing Human-Centered Dynamic Scene Understanding via Multiple LLMs Collaborated Reasoning—0
Enhancing Interaction Modeling with Agent Selection and Physical Coefficient for Trajectory Prediction—0
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors—0
Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory—0
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks—0
Enhancing Mapless Trajectory Prediction through Knowledge Distillation—0
Rearchitecting Classification Frameworks For Increased Robustness—0
Enhancing Object Detection in Adverse Conditions using Thermal Imaging—0
Enhancing Roadway Safety: LiDAR-based Tree Clearance Analysis—0
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions—0
Enhancing Steering Estimation with Semantic-Aware GNNs—0
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model—0
Enhancing Traffic Sign Recognition On The Performance Based On Yolov8—0
Enhancing Vehicle Make and Model Recognition with 3D Attention Modules—0
Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding—0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
EO-VLM: VLM-Guided Energy Overload Attacks on Vision Models—0
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning—0
Episodic Reinforcement Learning with Expanded State-reward Space—0
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction—0
ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals—0
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis—0
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios—0
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios—0
Estimating Uncertainty For Vehicle Motion Prediction on Yandex Shifts Dataset—0
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images—0
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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