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 1051–1075 of 2605 papers

TitleStatusHype
Driving Style Recognition at First Impression for Online Trajectory Prediction—0
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning—0
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach—0
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning—0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory—0
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles—0
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions—0
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving—0
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles—0
Behavior Planning of Autonomous Cars with Social Perception—0
An Empirical Analysis of Range for 3D Object Detection—0
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving—0
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis—0
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Benchmark Results

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