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

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Showing 1951–2000 of 2605 papers

TitleStatusHype
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis—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
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
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
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Low-latency Perception in Off-Road Dynamical Low Visibility EnvironmentsCode0
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning—0
Computer Vision based Accident Detection for Autonomous Vehicles—0
Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles—0
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems—0
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos—0
Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable—0
Artificial Intelligence at the Edge—0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation—0
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action PredictionCode0
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks—0
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning—0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization—0
Why model why? Assessing the strengths and limitations of LIMECode0
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field—0
Quantized Neural Networks for Radar Interference Mitigation—0
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation—0
Variational Monocular Depth Estimation for Reliability Prediction—0
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment—0
CGAP2: Context and gap aware predictive pose framework for early detection of gestures—0
Assessment of System-Level Cyber Attack Vulnerability for Connected and Autonomous Vehicles Using Bayesian Networks—0
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning—0
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss—0
Model-based Reinforcement Learning from Signal Temporal Logic Specifications—0
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning—0
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Benchmark Results

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