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 2241–2250 of 2605 papers

TitleStatusHype
mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs—0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Accurate Trajectory Prediction for Autonomous Vehicles—0
Human Driver Behavior Prediction based on UrbanFlow—0
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network—0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
Detecting Driveable Area for Autonomous Vehicles—0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach—0
Counterexample-Guided Synthesis of Perception Models and Control—0
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Benchmark Results

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