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 1901–1950 of 2605 papers

TitleStatusHype
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning—0
Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey—0
Work-in-Progress: Traded Control Transfer for Managing Real-Time Sensor Uncertainties in Autonomous Vehicle—0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization—0
Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation—0
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control—0
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review—0
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles—0
Zonal Architecture Development with evolution of Artificial Intelligence—0
Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation—0
Evaluation Uncertainty in Data-Driven Self-Driving Testing—0
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis—0
Forward Vehicle Collision Warning Based on Quick Camera Calibration—0
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving—0
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation—0
A Survey and Evaluation of Adversarial Attacks for Object Detection—0
Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles—0
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors—0
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios—0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks—0
3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application—0
3D Object Positioning Using Differentiable Multimodal Learning—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
4C: A Computation, Communication, and Control Co-Design Framework for CAVs—0
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks—0
5G enabled Mobile Edge Computing security for Autonomous Vehicles—0
5G Network Slicing: Analysis of Multiple Machine Learning Classifiers—0
6G Cellular Networks and Connected Autonomous Vehicles—0
A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation—0
AA3DNet: Attention Augmented Real Time 3D Object Detection—0
A Benchmark for Vision-Centric HD Mapping by V2I Systems—0
A Bird's-eye View of Language Processing Projects at the Romanian Academy—0
A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
A CASE STUDY ON OPTIMAL DEEP LEARNING MODEL FOR UAVS—0
Acceleration method for generating perception failure scenarios based on editing Markov process—0
Accurate Trajectory Prediction for Autonomous Vehicles—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications—0
A Comprehensive Eco-Driving Strategy for Connected and Autonomous Vehicles (CAVs) with Microscopic Traffic Simulation Testing Evaluation—0
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU—0
A Computational Model of Commonsense Moral Decision Making—0
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Benchmark Results

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