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MONTE CARLO LOCALIZATION
2005
2007
2009
2011
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2019
2021
2023
2005
2024
Experts
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Wolfram Burgard
Dieter Fox
Naoki Akai
Yue Wang
Rong Xiong
Hyun Myung
Sebastian Thrun
Frank Dellaert
Wei-Yen Wang
Yoji Kuroda
Patrick Pfaff
José Lima
Chen-Chien J. Hsu
Timothy D. Barfoot
Maurice F. Fallon
Laurent Delahoche
Miguel Angel Salichs
Chiang-Heng Chien
Arnaud Clerentin
Arturo de la Escalera
Luis Merino
Kris Kitani
Paulo Gomes Costa
Yanmei Jiao
Jose M. Armingol
Luis Moreno
Fernando Caballero
Hiroshi Takemura
Rudolph Triebel
Wen-Chung Kao
Héber M. Sobreira
Pietro Muraca
Shoudong Huang
Nathan Michael
Guoquan Huang
Carlos V. Regueiro
Yulin Yang
Marie-José Aldon
Mélanie Delafosse
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25
Venues
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ICRA
CoRR
IROS
IEEE Robotics Autom. Lett.
Robotics Auton. Syst.
IEEE Access
ROBIO
Sensors
J. Field Robotics
ICINCO (2)
IEEE Trans. Robotics Autom.
Auton. Robots
SII
RoboCup
ICAR
Ind. Robot
IEEE Trans. Instrum. Meas.
Robotica
CVPR
Intell. Serv. Robotics
Int. J. Robotics Res.
ICARCV
IEEE Trans. Robotics
J. Intell. Robotic Syst.
IAS
Intelligent Vehicles Symposium
J. Robotics Mechatronics
Adv. Robotics
ITSC
Int. J. Robotics Autom.
ICC
URAI
Int. J. Inf. Acquis.
ETFA
IPIN
AAAI
ICARSC
ICINCO-RA
LARS/SBR
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Related Topics
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simultaneous optimization
object contours
collision avoidance
high level
feature representation
mdl principle
queue length
vision system
automatic image annotation
eddy current
loosely coupled
monte carlo localization
real world
object tracking
estimation process
observation model
distance function
initially unknown
dynamic programming
confidence level
visual cues
cooperative
object localization
microsoft windows
changing environment
vector space
Related Keywords
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monte carlo localization
monte carlo
localization algorithm
search algorithm
fusion algorithm
mobile robot localization
monte carlo simulation
optimization algorithm
indoor localization
localization method
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