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 1351–1360 of 2605 papers

TitleStatusHype
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks—0
Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles—0
Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design—0
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles—0
Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks—0
Hypercongestion, autonomous vehicle, and urban spatial structure—0
Personalization and Recommendation Technologies for MaaS—0
Personalized and Context-aware Route Planning for Edge-assisted Vehicles—0
Personalized Federated Learning for Cross-view Geo-localization—0
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving—0
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Benchmark Results

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