Research Project

Cargo-ANTS: Cargo handling by Automated Next generation Transportation Systems for ports and terminals

Type

European Project

Start Date

01/09/2013

End Date

31/08/2016

Project Code

FP7-SST-2013-RTD-1-605598

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Staff

Project Description

Cargo-ANTs aims to create smart Automated Guided Vehicles (AGVs) and Automated Trucks (ATs) that can co-operate in shared workspaces for efficient and safe freight transportation in main ports and freight terminals. The specific objectives are:

1. Increase performance and throughput of freight transportation in main ports and freight terminals and maintain a high level of safety.
2. Develop an automated shared work yard for smart AGVs and ATs.
3. Develop and demonstrate a robust grid-independent positioning system and an environmental perception system that oversees safety of operations.
4. Develop and demonstrate planning, decision, control and safety strategies for Automated Next generation Transportation systems (ANTs), i.e. smart AGVs and ATs.

Call identifier: FP7-SST-2013-RTD-1
Work programme: GC.SST.2013-7

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Project website.

Project Publications

Journal Publications

  • V. Vaquero, E. Repiso and A. Sanfeliu. Robust and real-time detection and tracking of moving objects with minimum 2D LiDAR information to advance autonomous cargo handling in ports. Sensors, 19(1): 107, 2019.

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  • R. Galego, A.A. Ortega, R. Ferreira, A.J. Bernardino Malheiro, J. Andrade-Cetto and J. Gaspar. Uncertainty analysis of the DLT-lines calibration algorithm for cameras with radial distortion. Computer Vision and Image Understanding, 140: 115-126, 2015.

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  • I. Huerta, M.B. Holte, T. Moeslund and J. Gonzàlez. Chromatic shadow detection and tracking for moving foreground segmentation. Image and Vision Computing, 41: 42–53, 2015.

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  • A. Santamaria-Navarro, E.H. Teniente, M. Morta and J. Andrade-Cetto. Terrain classification in complex three-dimensional outdoor environments. Journal of Field Robotics, 32(1): 42-60, 2015.

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  • J. Vallvé and J. Andrade-Cetto. Potential information fields for mobile robot exploration. Robotics and Autonomous Systems, 69: 68-79, 2015.

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  • A.A. Ortega, M. Silva, E.H. Teniente, R. Ferreira, A.J. Bernardino Malheiro, J. Gaspar and J. Andrade-Cetto. Calibration of an outdoor distributed camera network with a 3D point cloud. Sensors, 14(8): 13708-13729, 2014.

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Conference Publications

  • A. Corominas Murtra, J. Vallvé, J. Solà, I. Flores and J. Andrade-Cetto. Observability analysis and optimal sensor placement in stereo radar odometry, 2016 IEEE International Conference on Robotics and Automation, 2016, Stockholm, Sweden, pp. 3161-3166.

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  • J. Vallvé and J. Andrade-Cetto. Active Pose SLAM with RRT*, 2015 IEEE International Conference on Robotics and Automation, 2015, Seattle, WA, USA, pp. 2167-2173.

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  • V. Vaquero, M. Villamizar and A. Sanfeliu. Real time people detection combining appearance and depth image spaces using boosted random ferns, 2nd Iberian Robotics Conference, 2015, Lisbon, in Robot 2015: Second Iberian Robotics Conference, Vol 418 of Advances in Intelligent Systems and Computing, pp. 587–598, 2015, Springer.

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  • V. Vaquero, E. Repiso, A. Sanfeliu, J. Vissers and M. Kwakkernaat. Low cost, robust and real time system for detecting and tracking moving objects to automate cargo handling in port terminals, 2nd Iberian Robotics Conference, 2015, Lisbon, in Robot 2015: Second Iberian Robotics Conference, Vol 418 of Advances in Intelligent Systems and Computing, pp. 491–502, 2015, Springer.

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  • I. Huerta, G. Ferrer, F. Herrero, A. Prati and A. Sanfeliu. Multimodal feedback fusion of laser, image and temporal information, 2014 International Conference on Distributed Smart Cameras, 2014, Venice, Italy, pp. 25:1-25:6.

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  • J. Vallvé and J. Andrade-Cetto. Dense entropy decrease estimation for mobile robot exploration, 2014 IEEE International Conference on Robotics and Automation, 2014, Hong Kong, China, pp. 6083-6089.

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  • R. Valencia, J. Saarinen, H. Andreasson, J. Vallvé, J. Andrade-Cetto and A. Llilienthal. Localization in highly dynamic environments using dual-timescale NDT-MCL, 2014 IEEE International Conference on Robotics and Automation, 2014, Hong Kong, China, pp. 3956-3962.

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