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 831–840 of 2605 papers

TitleStatusHype
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions—0
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
EfficientLPS: Efficient LiDAR Panoptic Segmentation—0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
An LSTM Network for Highway Trajectory Prediction—0
Efficient Fully Distributed Federated Learning with Adaptive Local Links—0
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Efficient algorithms for electric vehicles' min-max routing problem—0
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Benchmark Results

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