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 1776–1800 of 2605 papers

TitleStatusHype
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