Afficher la notice abrégée

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

dc.contributor.authorTang, Bo*
dc.contributor.authorBall, John*
dc.date.accessioned2021-02-11T18:29:26Z
dc.date.available2021-02-11T18:29:26Z
dc.date.issued2019*
dc.date.submitted2019-12-09 11:49:15*
dc.identifier42540*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/52517
dc.description.abstractThis book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR*
dc.languageEnglish*
dc.subjectTA1-2040*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.othern/a*
dc.subject.otherFPGA*
dc.subject.otherrecurrence plot (RP)*
dc.subject.otherresidual learning*
dc.subject.otherneural networks*
dc.subject.otherdriver monitoring*
dc.subject.othernavigation*
dc.subject.otherdepthwise separable convolution*
dc.subject.otheroptimization*
dc.subject.otherdynamic path-planning algorithms*
dc.subject.otherobject tracking*
dc.subject.othersub-region*
dc.subject.othercooperative systems*
dc.subject.otherconvolutional neural networks*
dc.subject.otherDSRC*
dc.subject.otherVANET*
dc.subject.otherjoystick*
dc.subject.otherroad scene*
dc.subject.otherconvolutional neural network (CNN)*
dc.subject.othermulti-sensor*
dc.subject.otherp-norm*
dc.subject.otherocclusion*
dc.subject.othercrash injury severity prediction*
dc.subject.otherdeep leaning*
dc.subject.othersqueeze-and-excitation*
dc.subject.otherelectric vehicles*
dc.subject.otherperception in challenging conditions*
dc.subject.otherT-S fuzzy neural network*
dc.subject.othertotal vehicle mass of the front vehicle*
dc.subject.otherelectrocardiogram (ECG)*
dc.subject.othercommunications*
dc.subject.othergenerative adversarial nets*
dc.subject.othercamera*
dc.subject.otheradaptive classifier updating*
dc.subject.otherVehicle-to-X communications*
dc.subject.otherconvolutional neural network*
dc.subject.otherpredictive*
dc.subject.otherGeobroadcast*
dc.subject.otherinfinity norm*
dc.subject.otherurban object detector*
dc.subject.othermachine learning*
dc.subject.otherautomated-manual transition*
dc.subject.otherred light-running behaviors*
dc.subject.otherphotoplethysmogram (PPG)*
dc.subject.otherpanoramic image dataset*
dc.subject.otherparallel architectures*
dc.subject.othervisual tracking*
dc.subject.otherautopilot*
dc.subject.otherADAS*
dc.subject.otherkinematic control*
dc.subject.otherGPU*
dc.subject.otherroad lane detection*
dc.subject.otherobstacle detection and classification*
dc.subject.otherGabor convolution kernel*
dc.subject.otherautonomous vehicle*
dc.subject.otherIntelligent Transport Systems*
dc.subject.otherdriving decision-making model*
dc.subject.otherGaussian kernel*
dc.subject.otherautonomous vehicles*
dc.subject.otherenhanced learning*
dc.subject.otherethical and legal factors*
dc.subject.otherkernel based MIL algorithm*
dc.subject.otherimage inpainting*
dc.subject.otherfusion*
dc.subject.otherterrestrial vehicle*
dc.subject.otherdriverless*
dc.subject.otherdrowsiness detection*
dc.subject.othermap generation*
dc.subject.otherobject detection*
dc.subject.otherinterface*
dc.subject.othermachine vision*
dc.subject.otherdriving assistance*
dc.subject.otherblind spot detection*
dc.subject.otherdeep learning*
dc.subject.otherrelative speed*
dc.subject.otherautonomous driving assistance system*
dc.subject.otherdiscriminative correlation filter bank*
dc.subject.otherrecurrent neural network*
dc.subject.otheremergency decisions*
dc.subject.otherLiDAR*
dc.subject.otherreal-time object detection*
dc.subject.othervehicle dynamics*
dc.subject.otherpath planning*
dc.subject.otheractuation systems*
dc.subject.othermaneuver algorithm*
dc.subject.otherautonomous driving*
dc.subject.othersmart band*
dc.subject.otherthe emergency situations*
dc.subject.othertwo-wheeled*
dc.subject.othersupport vector machine model*
dc.subject.otherglobal region*
dc.subject.otherbiological vision*
dc.subject.otherautomated driving*
dc.titleMachine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-376-4*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039213757*
oapen.relation.isbn9783039213764*
oapen.pages344*
oapen.edition1st*


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée

https://creativecommons.org/licenses/by-nc-nd/4.0/
Excepté là où spécifié autrement, la license de ce document est décrite en tant que https://creativecommons.org/licenses/by-nc-nd/4.0/