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 426–450 of 2605 papers

TitleStatusHype
Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping—0
Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative PerceptionCode0
Vehicular Resilient Control Strategy for a Platoon of Self-Driving Vehicles under DoS Attack—0
Local Map Construction with SDMap: A Comprehensive Survey—0
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges—0
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning—0
Variation of Camera Parameters due to Common Physical Changes in Focal Length and Camera Pose—0
Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving—0
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction—0
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks—0
Real-Time Weather Image Classification with SVMCode0
Slug Mobile: Test-Bench for RL Testing—0
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction—0
How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception—0
Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment—0
Passenger hazard perception based on EEG signals for highly automated driving vehicles—0
HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles—0
Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles—0
Safe Policy Exploration Improvement via Subgoals—0
Shifted Window Fourier Transform And Retention For Image Captioning—0
N-DriverMotion: Driver motion learning and prediction using an event-based camera and directly trained spiking neural networks on Loihi 2—0
CatFree3D: Category-agnostic 3D Object Detection with Diffusion—0
Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities—0
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems—0
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Benchmark Results

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