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 2026–2050 of 2605 papers

TitleStatusHype
A Hybrid Learner for Simultaneous Localization and Mapping—0
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System—0
A Hybrid Queuing Model for Coordinated Vehicle Platooning on Mixed-Autonomy Highways: Training and Validation—0
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering—0
AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems—0
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving—0
AI Generations: From AI 1.0 to AI 4.0—0
AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles—0
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles—0
AI Safety vs. AI Security: Demystifying the Distinction and Boundaries—0
A Lane Merge Coordination Model for a V2X Scenario—0
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition—0
A Learning-based approach for bias elimination in low cost gyroscopes—0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging—0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities—0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
A machine learning environment for evaluating autonomous driving software—0
A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction—0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles—0
A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction—0
A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles—0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation—0
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Benchmark Results

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