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 2301–2350 of 2605 papers

TitleStatusHype
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
CLuP-Based Dual-Deconvolution in Automotive ISAC Scenarios—0
ClusterFusion: Leveraging Radar Spatial Features for Radar-Camera 3D Object Detection in Autonomous Vehicles—0
CMP: Cooperative Motion Prediction with Multi-Agent Communication—0
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion—0
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework—0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems—0
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions—0
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles—0
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration—0
Coherent, super resolved radar beamforming using self-supervised learning—0
Collaborative Approaches to Enhancing Smart Vehicle Cybersecurity by AI-Driven Threat Detection—0
Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming—0
Collaborative Human-Agent Planning for Resilience—0
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—0
Collaborative Perception Datasets in Autonomous Driving: A Survey—0
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities—0
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles—0
Collective Decision Making using Attractive and Repulsive Forces in Markovian Opinion Dynamics—0
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception—0
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning—0
Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection—0
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary—0
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks—0
CommRad: Context-Aware Sensing-Driven Millimeter-Wave Networks—0
Communication-Aware Consistent Edge Selection for Mobile Users and Autonomous Vehicles—0
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control—0
Communication-Constrained Routing and Traffic Control for Autonomous Vehicles—0
Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control—0
Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs—0
Comparing a composite model versus chained models to locate a nearest visual object—0
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles—0
Comparison of lidar semantic segmentation performance on the structured SemanticKITTI and off-road RELLIS-3D datasets—0
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving—0
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs—0
Compositional Verification for Autonomous Systems with Deep Learning Components—0
Edge Computing for IoT: Novel Insights from a Comparative Analysis of Access Control Models—0
Computational Mapping of the Ground Reflectivity with Laser Scanners—0
Computation-efficient Deep Learning for Computer Vision: A Survey—0
Computer Vision based Accident Detection for Autonomous Vehicles—0
Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles—0
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art—0
Computer Vision for Autonomous Vehicles—0
Concepts for Automated Machine Learning in Smart Grid Applications—0
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration—0
Conditional Generative Neural System for Probabilistic Trajectory Prediction—0
Conditioning Latent-Space Clusters for Real-World Anomaly Classification—0
Confidence Calibration with Bounded Error Using Transformations—0
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Benchmark Results

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