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 701–750 of 2605 papers

TitleStatusHype
Exploring the Use of Autonomous Unmanned Vehicles for Supporting Power Grid Operations—0
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing—0
FluidML: Fast and Memory Efficient Inference Optimization—0
Machine vision-aware quality metrics for compressed image and video assessment—0
Lost in Tracking Translation: A Comprehensive Analysis of Visual SLAM in Human-Centered XR and IoT Ecosystems—0
FuzzRisk: Online Collision Risk Estimation for Autonomous Vehicles based on Depth-Aware Object Detection via Fuzzy Inference—0
Knowledge Distillation Neural Network for Predicting Car-following Behaviour of Human-driven and Autonomous Vehicles—0
Personalized Federated Learning for Cross-view Geo-localization—0
Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model—0
Federated Data-Driven Kalman Filtering for State Estimation—0
Energy-Aware Predictive Motion Planning for Autonomous Vehicles Using a Hybrid Zonotope Constraint Representation—0
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey—0
Radiance Field Delta Video Compression in Edge-Enabled Vehicular MetaverseCode0
Uncertainty Estimation for 3D Object Detection via Evidential Learning—0
Democratizing Reward Design for Personal and Representative Value-Alignment—0
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative LayersCode0
TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors—0
AI-Driven Scenarios for Urban Mobility: Quantifying the Role of ODE Models and Scenario Planning in Reducing Traffic Congestion—0
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles—0
Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in CrossroadsCode0
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations—0
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature IntegrationCode0
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models—0
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications—0
GUIDEd Agents: Enhancing Navigation Policies through Task-Specific Uncertainty Abstraction in Localization-Limited Environments—0
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation—0
Human Action Anticipation: A Survey—0
Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed-Human-Automated TrafficCode0
RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods—0
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space—0
Conversational Code Generation: a Case Study of Designing a Dialogue System for Generating Driving Scenarios for Testing Autonomous Vehicles—0
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving—0
Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale—0
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation—0
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI—0
Neural Semantic Map-Learning for Autonomous Vehicles—0
OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous VehiclesCode0
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions—0
Work-in-Progress: Traded Control Transfer for Managing Real-Time Sensor Uncertainties in Autonomous Vehicle—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM—0
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV—0
Lane Detection System for Driver Assistance in Vehicles—0
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps—0
Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation—0
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks—0
GERA: Geometric Embedding for Efficient Point Registration Analysis—0
Precise Ranging: Modeling Bias and Variance of Double-Sided Two-Way Ranging with TDoA Extraction under Multipath and NLOS Effects—0
Annotation-Free Curb Detection Leveraging Altitude Difference Image—0
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Benchmark Results

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