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 1851–1860 of 2605 papers

TitleStatusHype
Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
A C-V2X Platform Using Transportation Data and Spectrum-Aware Sidelink Access—0
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
Eco-Driving of Connected and Autonomous Vehicles with Sequence-to-Sequence Prediction of Target Vehicle Velocity—0
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles—0
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications—0
Reducing DNN Properties to Enable Falsification with Adversarial AttacksCode0
Issues in Object Detection in Videos using Common Single-Image CNNs—0
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Benchmark Results

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