SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2451–2500 of 2605 papers

TitleStatusHype
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation—0
Deep Reinforcement Learning for Shared Autonomous Vehicles (SAV) Fleet Management—0
DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles—0
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment—0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
Democratizing Reward Design for Personal and Representative Value-Alignment—0
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
Dense Road Surface Grip Map Prediction from Multimodal Image Data—0
Dependable Neural Networks for Safety Critical Tasks—0
Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning—0
Depth Estimation using Weighted-loss and Transfer Learning—0
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs—0
Designing Autonomous Vehicles: Evaluating the Role of Human Emotions and Social Norms—0
Detecting Driveable Area for Autonomous Vehicles—0
Detecting Unsigned Physical Road Incidents from Driver-View Images—0
Detection of Cyber-Attacks in Collaborative Intersection Control—0
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach—0
Deterministic Guided LiDAR Depth Map Completion—0
Developing Situational Awareness for Joint Action with Autonomous Vehicles—0
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions—0
Development of Simulation-based Lane Change Control System for Autonomous Vehicles—0
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance—0
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement—0
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing—0
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles—0
Diffusion-Based Environment-Aware Trajectory Prediction—0
Diffusion-Based Particle-DETR for BEV Perception—0
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks—0
Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention—0
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy—0
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline—0
DISeR: Designing Imaging Systems with Reinforcement Learning—0
Dissonance Between Human and Machine Understanding—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats—0
Distributed Learning and Inference with Compressed Images—0
Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
Distributed Traffic Control in Complex Dynamic Roadblocks: A Multi-Agent Deep RL Approach—0
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing—0
Diverse Critical Interaction Generation for Planning and Planner Evaluation—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified