Academy of Finland
Funding decision
 
Applicant / Contact person Rahtu, Esa
Organisation Tampere University
Project title Robust and Efficient PErception for Autonomous Things (REPEAT)
Decision No. 327910
Decision date 04.09.2019
Funding period 01.01.2020 - 31.12.2022
Funding 226 632
WebFOCUS Report
Project description
This project concerns autonomous perceiving and understanding of the environment, as well as image-based localization. These constitute key challenges for any autonomous or augmented reality system, especially when these functions are performed under low-quality sensor data. The project combines machine learning, computer vision and computer engineering to develop new methods for data-driven 3D visual computing and image based localization, while considering the computational resource limitations of autonomous systems. We put special interest in advancing the state-of-the-art in vision and sensor fusion methods, and in developing methods capable of inferring location, pose, and semantics from visual data. This is a cross-layer approach over of the fields of computer vision, machine learning, and computer engineering with the aim at renewing the view on how these can be combined.