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 2501–2525 of 2605 papers

TitleStatusHype
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles—0
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning—0
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles—0
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models—0
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles—0
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving—0
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions—0
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis—0
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory—0
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning—0
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning—0
Driving Style Recognition at First Impression for Online Trajectory Prediction—0
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles—0
Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles—0
Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping—0
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM—0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—0
Dual Formulation for Chance Constrained Stochastic Shortest Path with Application to Autonomous Vehicle Behavior Planning—0
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study—0
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Benchmark Results

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