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 1381–1390 of 2605 papers

TitleStatusHype
PointNet on FPGA for Real-Time LiDAR Point Cloud Processing—0
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction—0
Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks—0
Polling-systems-based Autonomous Vehicle Coordination in Traffic Intersections with No Traffic Signals—0
Poly-Autoregressive Prediction for Modeling Interactions—0
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models—0
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know—0
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs—0
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles—0
Potential Game-Based Decision-Making for Autonomous Driving—0
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Benchmark Results

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