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 1826–1850 of 2605 papers

TitleStatusHype
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles—0
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input—0
Unsupervised Abnormality Detection Using Heterogeneous Autonomous Systems—0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation—0
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment—0
UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles—0
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes—0
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision—0
AI-Driven Scenarios for Urban Mobility: Quantifying the Role of ODE Models and Scenario Planning in Reducing Traffic Congestion—0
Using 3D Shadows to Detect Object Hiding Attacks on Autonomous Vehicle Perception—0
Using Empirical Trajectory Data to Design Connected Autonomous Vehicle Controllers for Traffic Stabilization—0
Using Image Priors to Improve Scene Understanding—0
Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks—0
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks—0
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks—0
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models—0
V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes—0
V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication—0
V2X Communication Between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs)—0
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
ParCon: Noise-Robust Collaborative Perception via Multi-module Parallel Connection—0
V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception—0
V2X-ReaLO: An Open Online Framework and Dataset for Cooperative Perception in Reality—0
VAFER: Signal Decomposition based Mutual Interference Suppression in FMCW Radars—0
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Benchmark Results

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