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Found 8 papers, 3 papers with code
External Camera-based Mobile Robot Pose Estimation for Collaborative Perception with Smart Edge Sensors
We present an approach for estimating a mobile robot's pose w. r. t.
Object-level 3D Semantic Mapping using a Network of Smart Edge Sensors
Objects are represented in the map via their 3D mesh model or as an object-centric volumetric sub-map that can model arbitrary object geometry when no detailed 3D model is available.
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation
Here, we propose a UAV system for real-time semantic inference and fusion of multiple sensor modalities.
Online Marker-free Extrinsic Camera Calibration using Person Keypoint Detections
The person keypoint detections from multiple views are received at a central backend where they are synchronized, filtered, and assigned to person hypotheses.
3D Semantic Scene Perception using Distributed Smart Edge Sensors
The proposed perception system provides a complete scene view containing semantically annotated 3D geometry and estimates 3D poses of multiple persons in real time.
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles
In this work, we propose a UAV system for real-time semantic inference and fusion of multiple sensor modalities.
6D Object Pose Estimation using Keypoints and Part Affinity Fields
The task of 6D object pose estimation from RGB images is an important requirement for autonomous service robots to be able to interact with the real world.
Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors
We present a novel method for estimation of 3D human poses from a multi-camera setup, employing distributed smart edge sensors coupled with a backend through a semantic feedback loop.
Ranked #2 on
3D Multi-Person Pose Estimation
on Campus
