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 1851–1900 of 2605 papers

TitleStatusHype
Machine Biometrics -- Towards Identifying Machines in a Smart City Environment—0
A statistical framework for efficient out of distribution detection in deep neural networks—0
Confidence Calibration with Bounded Error Using Transformations—0
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models—0
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving—0
ROAD: The ROad event Awareness Dataset for Autonomous DrivingCode1
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems—0
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking—0
Finding the Gap: Neuromorphic Motion Vision in Cluttered EnvironmentsCode0
Resource allocation in dynamic multiagent systems—0
EfficientLPS: Efficient LiDAR Panoptic Segmentation—0
Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields—0
Aggregate Modeling and Equilibrium Analysis of the Crowdsourcing Market for Autonomous Vehicles—0
Robust Lane Detection via Expanded Self AttentionCode1
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs—0
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering MediaCode0
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver IdentificationCode1
Object Removal Attacks on LiDAR-based 3D Object Detectors—0
Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles—0
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based NetworksCode0
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles—0
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning—0
Fusion of neural networks, for LIDAR-based evidential road mapping—0
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis—0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
Observability of the relative motion from inertial data in kinematic chains—0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning—0
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles—0
Moral and Social Ramifications of Autonomous Vehicles—0
Personalization and Recommendation Technologies for MaaS—0
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization—0
Autonomous Vehicle Convoy Control as a Differential Game—0
Object Tracking by Detection with Visual and Motion CuesCode1
Dissonance Between Human and Machine Understanding—0
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning—0
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles—0
Shape Back-Projection In 3D Scenes—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Video action recognition for lane-change classification and prediction of surrounding vehicles—0
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN—0
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots—0
Channel Boosting Feature Ensemble for Radar-based Object Detection—0
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing—0
Approaching Neural Network Uncertainty Realism—0
SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning—0
A Hybrid Learner for Simultaneous Localization and Mapping—0
Smart Black Box 2.0: Efficient High-bandwidth Driving Data Collection based on Video Anomalies—0
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting—0
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Benchmark Results

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