Now showing items 1-10 of 10

    • Cament, Leonardo; Adams, Martin; Correa, Javier (Institute of Electrical and Electronics Engineers Inc., 2018)
      This paper introduces and addresses the implementation of the Multi-Bernoulli Poisson (MBP) filter in multi-target tracking. A performance evaluation in a real scenario, in which a 3D lidar, automotive radar and a video ...
    • Mullane, John; Vo, Ba-Ngu; Adams, Martin; Vo, Ba-Tuong (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2011-04)
      This paper proposes an integrated Bayesian framework for feature-based simultaneous localization and map building (SLAM) in the general case of uncertain feature number and data association. By modeling the measurements ...
    • Opazo Inostroza, Felipe; Adams, Martin (Institute of Electrical and Electronics Engineers Inc., 2018)
      Recently, various algorithms which adopt Random Finite Sets (RFS) for the solution of the fundamental, autonomous robotic, feature based, Simultaneous Localization and Mapping (SLAM) problem, have been proposed. In contrast ...
    • Leung, Keith; Lühr, Daniel; Houshiar, Hamidreza; Inostroza Allende, Luis Felipe; Borrmann, Dorit; Adams, Martin; Nüchter, Andreas; Ruiz del Solar, Javier (SAGE, 2017)
      This article presents a robotic dataset collected from the largest underground copper mine in the world. The sensor mea-surements from a 3D scanning lidar, a 2D radar, and stereo cameras were recorded from an approximately ...
    • Galdames, Francisco J.; Pérez Flores, Claudio; Estévez Valencia, Pablo; Adams, Martin (Elsevier, 2017)
      The determination of hardness and approximate mineral composition of rocks and classifying these litholo-gies aids in controlling various processes in the plant, such as reducing the grinding process, which accountsfor ...
    • Barrios, Pablo; Adams, Martin; Leung, Keith; Inostroza, Felipe; Naqvi, Ghayur; Orchard Concha, Marcos (IEEE, 2017)
      Inrobotic mapping and simultaneous localization and mapping, the ability to assess the quality of estimated maps is crucial. While concepts exist for quantifying the error in the estimated trajectory of a robot, or a ...
    • Lühr Sierra, Daniel; Adams, Martin (IEEE, 2015)
      Short range radars can provide robust information about their surroundings under atmospheric disturbances, such as dust, rain, and snow, conditions under which most other sensing technologies fail. However, this information ...
    • Galdames, Francisco J.; Pérez Flores, Claudio; Estévez, Pablo A.; Adams, Martin (Elsevier B.V., 2019)
      Mine operations in the future will require automatic rock characterization at many different stages, since it can be used to supervise and optimize various processes in the laboratory as well as at the mine locations for ...
    • Adams, Martin; Vo, Ba-Ngu; Mahler, Ronald; Mullane, John (2014)
    • Moratuwage, Diluka; Adams, Martin; Inostroza, Felipe (NLM (Medline), 2019)
      Under realistic environmental conditions, heuristic-based data association and map management routines often result in divergent map and trajectory estimates in robotic Simultaneous Localization And Mapping (SLAM). To ...