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

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Showing 1101–1150 of 2605 papers

TitleStatusHype
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
Dissonance Between Human and Machine Understanding—0
DISeR: Designing Imaging Systems with Reinforcement Learning—0
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline—0
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation—0
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios—0
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy—0
Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention—0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation—0
Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits—0
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
3D Object Positioning Using Differentiable Multimodal Learning—0
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks—0
Diffusion-Based Particle-DETR for BEV Perception—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
Diffusion-Based Environment-Aware Trajectory Prediction—0
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles—0
Autonomy 2.0: The Quest for Economies of Scale—0
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing—0
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement—0
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations—0
Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles—0
Addressing the IEEE AV Test Challenge with Scenic and VerifAI—0
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance—0
Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing—0
Development of Simulation-based Lane Change Control System for Autonomous Vehicles—0
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions—0
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice—0
Analysis over vision-based models for pedestrian action anticipation—0
Developing Situational Awareness for Joint Action with Autonomous Vehicles—0
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data—0
Deterministic Guided LiDAR Depth Map Completion—0
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets—0
Accurate Trajectory Prediction for Autonomous Vehicles—0
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach—0
Autonomous Vehicles for Ride-Hailing—0
Detection of Cyber-Attacks in Collaborative Intersection Control—0
Detecting Unsigned Physical Road Incidents from Driver-View Images—0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Active Learning of Driving Scenario Trajectories—0
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Benchmark Results

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