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 3101–3150 of 6092 papers

TitleStatusHype
Applications of Large Scale Foundation Models for Autonomous Driving—0
Applying Semantic Segmentation to Autonomous Cars in the Snowy Environment—0
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning—0
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter—0
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games—0
A Practical Cross-Device Federated Learning Framework over 5G Networks—0
A Practical Introduction to Deep Reinforcement Learning—0
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception—0
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain—0
Arbitrary Angle of Arrival in Radar Target Simulation—0
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization—0
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches—0
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs—0
Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion—0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap—0
Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports—0
A re-calibration method for object detection with multi-modal alignment bias in autonomous driving—0
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving—0
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap—0
A Review of Adversarial Attacks in Computer Vision—0
A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving—0
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
A Review on Multisensor Data Fusion for Wearable Health Monitoring—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study—0
Are We Ready for Driver-less Vehicles? Security vs. Privacy- A Social Perspective—0
Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?—0
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis—0
A Robust Attack: Displacement Backdoor Attack—0
Artificial Behavior Intelligence: Technology, Challenges, and Future Directions—0
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey—0
Artificial Intelligence Security Competition (AISC)—0
A Rule-Based Behaviour Planner for Autonomous Driving—0
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems—0
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving—0
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving—0
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model—0
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms—0
ASAP: Accurate semantic segmentation for real time performance—0
A Scenario-Based Development Framework for Autonomous Driving—0
A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions—0
A Simple Baseline for Supervised Surround-view Depth Estimation—0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning—0
ASL Recognition with Metric-Learning based Lightweight Network—0
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge—0
Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection—0
Assessing Systematic Weaknesses of DNNs using Counterfactuals—0
Assisted Robust Reward Design—0
Assume/Guarantee Contracts for Dynamical Systems: Theory and Computational Tools—0
A Step Towards Efficient Evaluation of Complex Perception Tasks in Simulation—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