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 1751–1800 of 2605 papers

TitleStatusHype
Model-Based Robust Adaptive Semantic Segmentation—0
A taxonomy of strategic human interactions in traffic conflicts—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
Online Robust MPC based Emergency Maneuvering System for Autonomous Vehicles—0
Federated Feature Selection for Cyber-Physical Systems of Systems—0
PDFNet: Pointwise Dense Flow Network for Urban-Scene SegmentationCode0
Towards cyber-physical systems robust to communication delays: A differential game approach—0
Generalized dynamic cognitive hierarchy models for strategic driving behavior—0
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames—0
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar—0
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling—0
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter WeatherCode0
A Framework for Multisensory Foresight for Embodied AgentsCode0
Image Deraining and Denoising Convolutional Neural Network ForAutonomous Driving—0
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain—0
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models—0
Autonomous Vehicles for Ride-Hailing—0
Emerging AI Security Threats for Autonomous Cars -- Case Studies—0
A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles—0
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles—0
Optimized self-adaptive PID speed control for autonomous vehiclesCode0
V2X Communication Between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs)—0
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering—0
Traffic Control in a Mixed Autonomy Scenario at Urban Intersections: An Optimization-based Framework—0
Identification of Vehicle Dynamics Parameters Using Simulation-based Inference—0
Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ ArchitectureCode0
Addressing the IEEE AV Test Challenge with Scenic and VerifAI—0
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization—0
A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles—0
A Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
Cooperative Localization Utilizing Reinforcement Learning for 5G Networks—0
FSNet: A Failure Detection Framework for Semantic Segmentation—0
Towards Robust Human Trajectory Prediction in Raw Videos—0
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized—0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains—0
Development of Simulation-based Lane Change Control System for Autonomous Vehicles—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
Semantic Mobile Base Station Placement—0
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
Active Learning of Driving Scenario Trajectories—0
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator—0
Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming—0
Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles—0
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging—0
Learning off-road maneuver plans for autonomous vehicles—0
Agent-aware State Estimation in Autonomous VehiclesCode0
Understanding the merging behavior patterns and evolutionary mechanism at freeway on-ramps—0
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Benchmark Results

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