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 2026–2050 of 2605 papers

TitleStatusHype
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
Traffic Control Gesture Recognition for Autonomous VehiclesCode1
Imitative Planning using Conditional Normalizing Flow—0
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector—0
Adaptive LiDAR Sampling and Depth Completion using Ensemble VarianceCode0
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design—0
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
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
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
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
Comparison of Different Methods for Time Sequence Prediction in 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
Accelerating 3D Deep Learning with PyTorch3DCode3
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
Understanding Object Detection Through An Adversarial LensCode1
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
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Benchmark Results

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