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Join virtual eLEOT 2020 for free from the comfort of your home! 6th EAI International Conference on eEducation and Online Training (June 20-21, 2020)
June 18th, 2020 
Daniela Lopez de Luise 
ECCV 2020 – Call for Participants: 3rd ACRV Probabilistic Object Detection (PrOD) Challenge (1 month left)
June 18th, 2020 Daniela Lopez de Luise The Australian Centre for Robotic Vision is pleased be running the third iteration of their first robotic vision challenge on probabilistic object detection. In the probabilistic object detection (PrOD) challenge, participants have to detect objects in video data and provide accurate estimates of spatial and semantic uncertainty. High performing competitors in this iteration of the challenge will be invited to present their work online at our ECCV 2020 Workshop Beyond mAP: Reasessing the Evaluation of Object Detectors and receive a monetary prize.
To compete in the challenge and for the full challenge details, please see our competition website (https://competitions.codalab.org/competitions/20597)
Important Dates
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- Final Detection Submissions Due – 14th July 2020 Midnight UTC
- Final Paper Submissions Due – 21st July 2020 Midnight UTC
- Winner Announcements and Workshop Invitations Sent – 28th July 2020
- ECCV Workshop (online) – 28th August 2020
Overview
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To aid in developing computer vision systems that can be easily applied to a robotics domain, our challenge encourages development of probabilistic object detection systems that provide meaningful estimates of both spatial and semantic uncertainty. This enable object detection to be utilised like any other sensor within already trusted Bayesian fusion frameworks
In contrast to traditional object detection challenges (such as COCO), our challenge evaluates detections using the new probability-based detection quality (PDQ) measure which rewards accurate uncertainty estimates, and penalises both overconfident and underconfident detections.
Within the challenge, competitors will detect 30 classes of object in over 56,000 images from 18 high-fidelity simulated video sequences spanning 3 unique environments viewed at 3 different simulated robot heights with both day and night lighting conditions.
As well as the ECCV 2020 PrOD challenge, we have a continuous evaluation server available for those who want to develop work in this field of research.
We invite anyone who is interested in object detection and appreciates a good challenge to please participate and compete in the competition so that we may continue to push the state-of-the-art in object detection in directions more suited to robotics applications.
ECCV 2020 PrOD Competition: https://competitions.codalab.org/competitions/20597
Continuous PrOD Challenge: https://competitions.codalab.org/competitions/20595
Contact Details
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E-mail: contact@roboticvisionchallenge.org
Slack: https://tinyurl.com/rvcslack
Twitter: @RobVisChallenge
Website: roboticvisionchallenge.org
3rd FPV Drone Racing VIO Competition – Prize money and Keynote invitation – Deadline Sep. 27. 2020
June 18th, 2020 Daniela Lopez de Luise Competition”. You can win up to 3,000$ by running your Visual Inertial
Odometry (VIO) algorithm on datasets (including stereo images, IMU, and
event data) recorded with an FPV drone racing quadrotor flown by an
expert pilot with speeds up to and over 20m/s.
The submission deadline is September 27, 2020.
The winner will also be invited to present at our IROS2020 workshop
“Perception, Learning, and Control for Autonomous Agile Vehicles”.
More info here: https://uzh-rpg.github.io/IROS2020-FPV-VIO-Competition/
Davide Scaramuzza
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Prof. Dr. Davide Scaramuzza
Director of the Robotics and Perception Group:
http://rpg.ifi.uzh.ch/people_scaramuzza.html
Inst. of Informatics, University of Zurich,
Inst. of Neuroinformatics, University of Zurich and ETH Zurich
Andreasstrasse 15, AND 2.10, Zurich, Switzerland
Office: +41 44 635 24 09
YouTube Channel: https://www.youtube.com/ailabRPG/
___________________________________
IEEE NorCAS 2020 CFP
June 18th, 2020 Daniela Lopez de Luise Dear colleagues,
The IEEE Nordic Circuits and Systems Conference will be organized
on October 27-28, 2020 as a VIRTUAL CONFERENCE.
You can now propose special sessions, until June 30. The submission website
will opened then, and the paper submission deadline is on August 14.
Accepted and presented papers will be sent for inclusion to IEEE Xplore.
IEEE Circuits and Systems Society is a financial co-sponsor of NorCAS.
Participation fees will be substantially lower than normally, due to the
missing premise, catering and social event costs. You can expect something in the
range of 100 EUR (add or take a few) for participants presenting a paper.
For more information and call for papers (and instructions on how to propose
special sessions) at https://events.tuni.fi/norcas2020
Regards,
Jari Nurmi
IEEE NorCAS General Chair
Agronomy Special Issue on “Sensing and Perception Systems for Situational Awareness of Agricultural Robotic Vehicles”
June 18th, 2020 Daniela Lopez de Luise the last few years have seen an increasing technological transfer from robotics to agriculture to develop intelligent vehicles that can significantly enhance the sustainability of agricultural systems.
Robotics technology has been recently proven to be especially valuable for the development of in-field high-throughput phenotyping platforms supporting precision farming applications, to improve natural resource-saving and health and safety conditions of the workforce, as well as to increase productivity and competitiveness of agricultural production.
In this respect, accurate and robust sensing and perception systems, taking advantage of the latest research advances in the field of machine learning and deep learning techniques, play a critical role in addressing unsolved issues such as safe interaction with workers and animals, controlled traffic applications, crop row guidance, surveying for variable rate applications, and situation awareness in general.
This Special Issue of Agronomy (impact factor = 2.259) invites original submissions addressing the study and development of sensing and perception systems to endow an agricultural vehicle with cognitive abilities to safely navigate and interact with its operational environment, with workers or other robots, as well as articles dealing with the study and development of novel data analysis techniques for crop assessment, recognition of condition using data acquired by agricultural robotic platforms, and any other relevant application of such technologies in crops and animal husbandry.
Papers providing experimental evidence in the field and involving the integration of different disciplines such as engineering, mathematics/statistics, occupational safety and health, human-machine interface and ergonomics, and environmental and computer science are particularly encouraged.
Contributions focusing on the development of agricultural robotic technologies to achieve the United Nations sustainable development goals, such as securing healthy and sustainable food and safe working conditions, and overcoming and recovering from the COVID-19 pandemic are welcome.
Keywords:
- Sensor and robot networks in agriculture
- Multisensor and data fusion
- Machine learning and deep learning from sensor data in agriculture
- Environment mapping and classification
- Robot localization and navigation
- In-field phenotyping sensors and vehicles
- Safe human-robot interaction in agricultural applications
- Sensors and vehicles for in-field pest detection and management
- Harvesting automation
- Cooperative agricultural robotics
- Safety and health in agriculture
- Food security
Deadline for manuscript submissions: January 1, 2021.
For submission details, please visit:
https://www.mdpi.com/journal/agronomy/special_issues/Agricultural_Robotic_Vehicles
Guest Editors
Dr. Eugenio Cavallo
Dr. Roberto Marani
Dr. Annalisa Milella