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 561–570 of 2605 papers

TitleStatusHype
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality MetaversesCode0
Adaptive LiDAR Sampling and Depth Completion using Ensemble VarianceCode0
Attentional PointNet for 3D-Object Detection in Point CloudsCode0
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward ProfilesCode0
Global Point Cloud Registration Network for Large TransformationsCode0
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
Game-theoretic Objective Space PlanningCode0
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous DrivingCode0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
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Benchmark Results

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