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

Showing 401410 of 2605 papers

TitleStatusHype
Towards Effective Multi-Moving-Camera Tracking: A New Dataset and Lightweight Link ModelCode0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape TemplatesCode0
Multi-Agent Pathfinding: Definitions, Variants, and BenchmarksCode0
Multi-Agent Imitation Learning for Driving SimulationCode0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
4D-ROLLS: 4D Radar Occupancy Learning via LiDAR SupervisionCode0
Naturalistic Driver Intention and Path Prediction using Recurrent Neural NetworksCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
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Benchmark Results

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