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 2351–2375 of 2605 papers

TitleStatusHype
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge IntelligenceCode0
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas—0
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward—0
Attention-based Supply-Demand Prediction for Autonomous Vehicles—0
Towards Safety-Aware Computing System Design in Autonomous Vehicles—0
Behavior Identification and Prediction for a Probabilistic Risk Framework—0
LEAF: A Benchmark for Federated Settings—0
Autonomous Vehicle Control: End-to-end Learning in Simulated Urban EnvironmentsCode0
Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep DescriptorsCode0
Automatic Calibration of Multiple 3D LiDARs in Urban Environments—0
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds—0
Some Research Problems in Biometrics: The Future Beckons—0
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network—0
Forecasting Pedestrian Trajectory with Machine-Annotated Training DataCode0
Conditional Generative Neural System for Probabilistic Trajectory Prediction—0
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent SettingsCode0
Enhanced free space detection in multiple lanes based on single CNN with scene identificationCode0
Behavior Planning of Autonomous Cars with Social Perception—0
Outlier Detection from Image Data—0
A CASE STUDY ON OPTIMAL DEEP LEARNING MODEL FOR UAVS—0
Learning agents with prioritization and parameter noise in continuous state and action space—0
Geometry aware convolutional filters for omnidirectional images representation—0
RRPN: Radar Region Proposal Network for Object Detection in Autonomous VehiclesCode0
Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
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Benchmark Results

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