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 651–700 of 2605 papers

TitleStatusHype
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
MM-Gaussian: 3D Gaussian-based Multi-modal Fusion for Localization and Reconstruction in Unbounded Scenes—0
Quantifying Uncertainty in Motion Prediction with Variational Bayesian MixtureCode0
Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression—0
DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object DetectionCode2
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel PriorCode0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation—0
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks—0
The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar DataCode1
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks—0
HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes—0
ENet-21: An Optimized light CNN Structure for Lane Detection—0
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
Low-Complexity Estimation Algorithm and Decoupling Scheme for FRaC System—0
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets—0
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models—0
Global Point Cloud Registration Network for Large TransformationsCode0
CMP: Cooperative Motion Prediction with Multi-Agent Communication—0
Proprioception Is All You Need: Terrain Classification for Boreal ForestsCode1
V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
Event-triggered Boundary Control of Mixed-autonomy Traffic—0
Certified Human Trajectory PredictionCode2
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse WeatherCode0
A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy—0
Scaling Diffusion Models to Real-World 3D LiDAR Scene CompletionCode3
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving—0
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving—0
Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative DrivingCode0
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion PredictionCode2
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
Diffusion-Based Environment-Aware Trajectory Prediction—0
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach—0
P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors—0
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind SpotsCode0
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI—0
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis—0
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF PriorsCode1
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models—0
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic ViolationsCode0
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles—0
MonoOcc: Digging into Monocular Semantic Occupancy PredictionCode2
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks—0
MergeOcc: Bridge the Domain Gap between Different LiDARs for Robust Occupancy Prediction—0
Open-World Semantic Segmentation Including Class SimilarityCode2
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach—0
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Benchmark Results

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