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 1626–1650 of 2605 papers

TitleStatusHype
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty—0
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems—0
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles—0
Bi-directional Loop Closure for Visual SLAM—0
A Convex Optimal Control Framework for Autonomous Vehicle Intersection Crossing—0
Sensor Data Validation and Driving Safety in Autonomous Driving Systems—0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems—0
How Do We Fail? Stress Testing Perception in Autonomous VehiclesCode0
Sparse Federated Learning with Hierarchical Personalized Models—0
Efficient Fully Distributed Federated Learning with Adaptive Local Links—0
Modelling and Analysis of Car Following Algorithms for Fuel Economy Improvement in Connected and Autonomous Vehicles (CAVs)—0
Collective Decision Making using Attractive and Repulsive Forces in Markovian Opinion Dynamics—0
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-LearningCode0
Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand—0
Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming—0
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies—0
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility—0
Grounding Commands for Autonomous Vehicles via Layer Fusion with Region-specific Dynamic Layer Attention—0
Audiovisual Affect Assessment and Autonomous Automobiles: Applications—0
Moral Dilemmas for Moral Machines—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Adversarial Patterns: Building Robust Android Malware Classifiers—0
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Benchmark Results

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