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 2151–2175 of 2605 papers

TitleStatusHype
A Survey on Data-Driven Modeling of Human Drivers' Lane-Changing Decisions—0
A Survey on Datasets for Decision-making of Autonomous Vehicle—0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
A Survey on Graph Neural Networks in Intelligent Transportation Systems—0
A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities—0
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems—0
A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications—0
A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety—0
A taxonomy of strategic human interactions in traffic conflicts—0
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives—0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design—0
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers—0
Attack Tree Analysis for Adversarial Evasion Attacks—0
Attention-based Supply-Demand Prediction for Autonomous Vehicles—0
A Tutorial on Adversarial Learning Attacks and Countermeasures—0
Audio Analytics-based Human Trafficking Detection Framework for Autonomous Vehicles—0
Audiovisual Affect Assessment and Autonomous Automobiles: Applications—0
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy—0
AUTHENTICATION: Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems using Adversarially Guided Diffusion Models—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System—0
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Benchmark Results

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