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 2051–2100 of 2605 papers

TitleStatusHype
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles—0
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon—0
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis—0
Platoon--assisted Vehicular Cloud in VANET: Vision and Challenges—0
Enhanced Normalized Mutual Information for Localization in Noisy Environments—0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal—0
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference—0
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions—0
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving—0
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning—0
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze—0
Impact of Disturbances on Mixed Traffic Control with Autonomous Vehicles—0
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving—0
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions—0
Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios—0
A Survey and Insights on Deployments of the Connected and Autonomous Vehicles in US—0
Efficient algorithms for electric vehicles' min-max routing problem—0
SL1-Simplex: Safe Velocity Regulation of Self-Driving Vehicles in Dynamic and Unforeseen Environments—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
Imitative Planning using Conditional Normalizing Flow—0
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector—0
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design—0
Adaptive LiDAR Sampling and Depth Completion using Ensemble VarianceCode0
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments—0
Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles—0
Regulating human control over autonomous systems—0
Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning—0
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study—0
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment—0
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles—0
Decoding CNN based Object Classifier Using Visualization—0
Towards robust sensing for Autonomous Vehicles: An adversarial perspective—0
Multi-Intersection Traffic Management for Autonomous Vehicles via Distributed Mixed Integer Linear Programming—0
Elevated LiDAR Placement under Energy and Throughput Capacity Constraints—0
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning—0
Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients—0
PathGAN: Local Path Planning with Attentive Generative Adversarial NetworksCode0
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles—0
IMU Preintegrated Features for Efficient Deep Inertial Odometry—0
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles—0
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous VehiclesCode0
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML SystemsCode0
Falsification-Based Robust Adversarial Reinforcement Learning—0
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Benchmark Results

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