LEADER 03559nam 22006735 450 001 9910484164603321 005 20251202151056.0 010 $a981-13-9217-X 024 7 $a10.1007/978-981-13-9217-7 035 $a(CKB)4100000009158811 035 $a(MiAaPQ)EBC5850798 035 $a(DE-He213)978-981-13-9217-7 035 $a(PPN)243768362 035 $a(EXLCZ)994100000009158811 100 $a20190812d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment /$fby Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (xxii, 328 pages) $cillustrations (some color) 311 1 $a981-13-9216-1 327 $aPart I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning. 330 $aThis book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research. 606 $aControl engineering 606 $aRobotics 606 $aAutomation 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputational intelligence 606 $aMachine learning 606 $aControl, Robotics, Automation 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputational Intelligence 606 $aRobotics 606 $aMachine Learning 615 0$aControl engineering. 615 0$aRobotics. 615 0$aAutomation. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputational intelligence. 615 0$aMachine learning. 615 14$aControl, Robotics, Automation. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputational Intelligence. 615 24$aRobotics. 615 24$aMachine Learning. 676 $a006.3 700 $aWang$b Xiaochun$4aut$4http://id.loc.gov/vocabulary/relators/aut$01225159 702 $aWang$b Xiali$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWilkes$b Don Mitchell$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910484164603321 996 $aMachine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment$92844996 997 $aUNINA