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 711–720 of 2605 papers

TitleStatusHype
TUMTraf V2X Cooperative Perception DatasetCode4
Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change—0
Automatic driving lane change safety prediction model based on LSTM—0
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems—0
Highway Discretionary Lane-change Decision and Control Using Model Predictive Control—0
Explicit Interaction for Fusion-Based Place RecognitionCode3
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data—0
Active propulsion noise shaping for multi-rotor aircraft localizationCode0
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving—0
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Benchmark Results

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