12 citations · 39 across the 10 of their papers we have counts for
10 papers
AgiPIX: Bridging Simulation and Reality in Indoor Aerial Inspection
Sasanka Kuruppu Arachchige, Juan Jose Garcia, Changda Tian +4
Autonomous indoor flight for critical asset inspection presents fundamental challenges in perception, planning, control, and learning. Despite rapid progress, there is still a lack…
Data Scaling for Navigation in Unknown Environments
Lauri Suomela, Naoki Takahata, Sasanka Kuruppu Arachchige +2
Generalization of imitation-learned navigation policies to environments unseen in training remains a major challenge. We address this by conducting the first large-scale study of h…
Synthetic vs. Real Training Data for Visual Navigation
Lauri Suomela, Sasanka Kuruppu Arachchige, German F. Torres +2
This paper investigates how the performance of visual navigation policies trained in simulation compares to policies trained with real-world data. Performance degradation of simula…
Neural Network Controller for Autonomous Pile Loading Revised
Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk +5
We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2]. In the field exper…
Learning Anthropometry from Rendered Humans
Song Yan, Joni-Kristian Kämäräinen
Accurate estimation of anthropometric body measurements from RGB images has many potential applications in industrial design, online clothing, medical diagnosis and ergonomics. Res…
A Benchmark for Temporal Color Constancy
Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen +2
Temporal Color Constancy (CC) is a recently proposed approach that challenges the conventional single-frame color constancy. The conventional approach is to use a single frame - sh…
DAL -- A Deep Depth-aware Long-term Tracker
Yanlin Qian, Alan Lukežič, Matej Kristan +2
The best RGBD trackers provide high accuracy but are slow to run. On the other hand, the best RGB trackers are fast but clearly inferior on the RGBD datasets. In this work, we prop…
AR-based interaction for safe human-robot collaborative manufacturing
Antti Hietanen, Jyrki Latokartano, Roel Pieters +2
Industrial standards define safety requirements for Human-Robot Collaboration (HRC) in industrial manufacturing. The standards particularly require real-time monitoring and securin…
Object Pose Estimation in Robotics Revisited
Antti Hietanen, Jyrki Latokartano, Alessandro Foi +4
Vision based object grasping and manipulation in robotics require accurate estimation of object's 6D pose. The 6D pose estimation has received significant attention in computer vis…
Object Detection in Equirectangular Panorama
Wenyan Yang, Yanlin Qian, Francesco Cricri +2
We introduced a high-resolution equirectangular panorama (360-degree, virtual reality) dataset for object detection and propose a multi-projection variant of YOLO detector. The mai…