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

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Showing 1291–1300 of 2605 papers

TitleStatusHype
Intelligent Autonomous Intersection Management—0
Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach—0
Intermodal Network of Autonomous Mobility-on-Demand and Micromobility Systems—0
Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles—0
Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques—0
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory—0
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network—0
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms—0
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving—0
A Lane Merge Coordination Model for a V2X Scenario—0
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Benchmark Results

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