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

Showing 14511475 of 2605 papers

TitleStatusHype
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving0
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles0
A Survey of FPGA-Based Robotic Computing0
A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network0
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments0
A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles0
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services0
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning0
A Survey on Data-Driven Modeling of Human Drivers' Lane-Changing Decisions0
A Survey on Datasets for Decision-making of Autonomous Vehicle0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time0
A Survey on Graph Neural Networks in Intelligent Transportation Systems0
A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities0
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems0
A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications0
A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety0
A taxonomy of strategic human interactions in traffic conflicts0
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design0
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers0
Attack Tree Analysis for Adversarial Evasion Attacks0
Attention-based Supply-Demand Prediction for Autonomous Vehicles0
A Tutorial on Adversarial Learning Attacks and Countermeasures0
Audio Analytics-based Human Trafficking Detection Framework for Autonomous Vehicles0
Audiovisual Affect Assessment and Autonomous Automobiles: Applications0
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Benchmark Results

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