Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Mario E. Munich"'
Publikováno v:
IROS
The time complexity of making observations and loop closures in a graph-based visual SLAM system is a function of the number of views stored [1], [2]. Clever algorithms, such as approximate nearest neighbor search, can make this function sub-linear.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b60375fe233d23a0133d96dfe052f296
https://doi.org/10.1109/iros40897.2019.8968245
https://doi.org/10.1109/iros40897.2019.8968245
Publikováno v:
ECMR
Occupancy mapping enables a mobile robot to make intelligent planning decisions to accomplish its tasks. Adaptive local maps is an algorithm which represents the occupancy information as a set of overlapping local maps anchored to poses in the robot'
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::145fa9493412cf20103055d20df2be19
https://doi.org/10.1109/ecmr.2019.8870347
https://doi.org/10.1109/ecmr.2019.8870347
Publikováno v:
Autonomous Mobile Robots ISBN: 9781315221229
Automation and Control Engineering ISBN: 9780849337482
Automation and Control Engineering ISBN: 9780849337482
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b936b2db2b19091802153def7477fe4
https://doi.org/10.1201/9781315221229-20
https://doi.org/10.1201/9781315221229-20
Publikováno v:
ICRA
We present a fast nonlinear approximation method for marginalizing out nodes on pose graphs for longterm simultaneous localization, mapping, and navigation. Our approximation preserves the pose graph structure to leverage the rich literature of pose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49844ce3ad2d7a929363b914fb9ef668
https://doi.org/10.1109/icra.2018.8460979
https://doi.org/10.1109/icra.2018.8460979
Publikováno v:
IROS
We introduce RoomsSeg, a novel method for segmenting occupancy grid maps into regions that represent rooms and corridors in the real world. The segmentation is utilized for systematic room-by-room cleaning on autonomous vacuum cleaners running in pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d02491138101145599f9a4ac5a39f3a3
https://doi.org/10.1109/iros.2017.8206429
https://doi.org/10.1109/iros.2017.8206429
Publikováno v:
IROS
Occupancy mapping is an important component of a robot navigation system since it enables intelligent planning of actions to accomplish a task. In some cases, occupancy information is mapped as part of a SLAM system. In other cases, such as visual SL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11359135c9c2a870bfd60191b74efed6
https://doi.org/10.1109/iros.2017.8202320
https://doi.org/10.1109/iros.2017.8202320
Publikováno v:
Robotics and Autonomous Systems. 62:1248-1258
Vector field SLAM is a framework for localizing a mobile robot in an unknown environment by learning the spatial distribution of continuous signals such as those emitted by WiFi or active beacons. In our previous work we showed that this approach is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fdfa440de80a8b65675447a371e63c3
https://doi.org/10.1016/j.robot.2014.03.021
https://doi.org/10.1016/j.robot.2014.03.021
Publikováno v:
Springer Handbook of Robotics ISBN: 9783319325507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1b0b16ceb719bfa77f512d07364cf55
https://doi.org/10.1007/978-3-319-32552-1_65
https://doi.org/10.1007/978-3-319-32552-1_65
Publikováno v:
IEEE Transactions on Robotics. 28:650-667
Localization in unknown environments using low-cost sensors on embedded hardware is challenging. Yet, it is a requirement for consumer robots if systematic navigation is desired. In this paper, we present a localization approach that learns the spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3abafe6096b353a5336377c5a13088
https://doi.org/10.1109/tro.2011.2177691
https://doi.org/10.1109/tro.2011.2177691
Autor:
Paolo Pirjanian, David G. Lowe, E. Di Bernardo, Niklas Karlsson, Mario E. Munich, Luís F. Gonçalves
Publikováno v:
IEEE Robotics & Automation Magazine. 13:72-77
Recent advances in computer vision have given rise to a robust and invariant visual pattern recognition technology that is based on extracting a set of characteristic features from an image. Such features are obtained with the scale invariant feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb824a1c0d711581cba85b82ff8d6fa5
https://doi.org/10.1109/mra.2006.1678141
https://doi.org/10.1109/mra.2006.1678141