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 431–440 of 2605 papers

TitleStatusHype
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object ShapesCode0
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoVCode0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature IntegrationCode0
LiDAR-Camera Calibration using 3D-3D Point correspondencesCode0
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative LayersCode0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
Leveraging Shape Completion for 3D Siamese TrackingCode0
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Benchmark Results

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