Nhazi igwe ojii
Igwe ojii bụ isi ihe 3D (X, Y, Z) na-ejide udi nke ezigbo ihe na oghere, mgbe mgbe site na LiDAR ma ọ bụ ihe mmetụta miri emi.
Nchịkọta
Nhazi igwe ojii bụ ka igwe si ehicha, hazie, ma ghọta ntụpọ 3D ndị a siri ike ịmata, kewaa, na ịnyagharịa n'ụwa.
Ime miri emi
A naghị ahazi igwe ojii n'usoro, na-anọghị n'oge ọ bụla, na enweghị grid a kapịrị ọnụ, nke na-eme ka ọ dị egwu maka netwọkụ akwara onyonyo arụnyere maka nhazi pixel dị mma. Ihe omuma a na-adikwa obere ma buru ibu: otu mkpochapu LiDAR nwere ike ijide otutu narị puku isi. Ịhazi pipeline na-adịkarị ala (dịka ọmụmaatụ, voxel grids), wepụ mkpọtụ na ndị na-apụ apụ, tụlee ihe ndị dị n'elu, wee debanye aha ọtụtụ nyocha n'ime otu nhazi nhazi site na iji algọridim dị ka Iterative Closest Point. Maka nghọta, PointNet sụrụ ụzọ mụọ ihe ozugbo na isi ihe site na iji netwọkụ otu ebe na-ekekọrịta gbakwunyere usoro ngwungwu symmetrical nke na-eleghara ịtụ ịtụ anya. Ụdị ndị ọzọ dị ka PointNet++, KPConv, na mgbagwoju anya 3D na-ejide agbata obi, na-eme ka nchọpụta ihe 3D, nkebi semantic, na nhazi ọdịdị.
Nghọta nka nka
Ihe ịma aka bụ isi bụ enweghị mgbanwe: otu ígwé ojii ahụ edepụtara n'usoro ọ bụla ga-enye otu nsonaazụ ahụ. PointNet na-edozi nke a site n'itinye obere netwọkụ yiri ya na isi ihe ọ bụla n'onwe ya, wee jikọta atụmatụ yana ọrụ symmetric (max-pooling) nke na-adịghị eche maka usoro. Iji weghara geometry mpaghara, ụdị usoro nhazi na-achịkọta ihe ndị dị nso n'ime agbataobi wee hazie ha n'ọtụtụ akpịrịkpa, dị ka mgbagha na-ewulite ọnọdụ oghere na onyonyo.
Mmetụta atụmatụ
Ọsọ na ọnụ ọgụgụ
Visual AI nwere ike megharịa nyocha, nchọpụta na mkpado ọrụ n'ọtụtụ.
Mee nhọrọ
Otu ndị na-emepụta ihe nwere ike imepụta echiche ngwa ngwa site na ngbanwe akwụkwọ ntuziaka ole na ole.
Team na usoro ọrụ
Ọrụ nwere ike iji onyonyo na akara vidiyo siri ike ịhazi.
Ọdịnihu nke nhazi igwe ojii
Ihe ntụgharị nrịba ama na ụdị dabere na nlebara anya na-emeziwanye ka usoro si eche echiche gbasara nhazi 3D dị ogologo. Njikọ nke isi LiDAR siri ike na onyonyo igwefoto na-eweta nnukwu nghọta karịa maka nnwere onwe. Ịzụ ọzụzụ onwe onye na nnukwu nyocha na-enweghị akara na-ebelata ọnụ ahịa ịde aha, ebe netwọk ndị na-adịghị ahụkebe na ọnụọgụ na-agbanye nhazi oge n'ime ụgbọ ala na robots. Ihe nnochi anya akwara dị ka ịgbasa Gaussian na ubi ndị doro anya na-abawanye uru igwe ojii, na-eme ka ahịrị dị n'etiti ụdị ihe ngosi 3D dabere na isi na na-aga n'ihu.
Mmejuputa n'ezie n'ụwa
Ụgbọ ala ndị kwụụrụ onwe ha na-ahazi igwe ojii LiDAR ozugbo iji chọpụta ụgbọ ala, ndị na-agba ịnyịnya, na ndị na-agafe agafe na maapụ oghere enwere ike ịnyagharị.
Ndị nyocha na ndị otu ihe owuwu na-eji igwe ojii si na nyocha laser mepụta ụdị 3D arụrụ arụ ma chọpụta mgbanwe nhazi.
Ọrụ ihe nketa omenala na-enyocha ihe oyiyi na ụlọ n'ime igwe ojii dị oke egwu maka ichekwa na mweghachi dijitalụ.
Robots na-eji igwe igwe ihe omimi dị omimi maka ịhọpụta bin, ịghọta akụkụ ndị na-adịghị agafe agafe, na izere ihe mgbochi n'ime oghere ndị nwere mgbagwoju anya.
Ihe ize ndụ & okporo ụzọ nche
Ikike onyonyo na nkwenye nwere ike bụrụ ihe egwu dị n'iwu ma ọ bụrụ na edoghị anya.
Ọrụ nlereanya nwere ike ịdịgasị iche n'ofe ọkụ, igwe mmadụ, na gburugburu.
Enwere ike ghara ịhụ ihe dị mma ma ọ bụrụ na enyochaghị oke ntụkwasị obi.
Map mmejuputa
Kọwaa ụkpụrụ nnabata maka nkenke, icheta, na ụgwọ njehie.
Nwalee na data dabara na ọnọdụ mmepụta n'ezie.
Tinye nyocha mmadụ maka obere obi ike ma ọ bụ amụma mmetụta dị elu.
Sochie ihe nlere anya wee megharịa ka emechara mgbanwe igwefoto ma ọ bụ dataset.
Nọgide na-eme nchọpụta
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Point Cloud Processing quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Ntuziaka na-esote
AI Cloud Architecture
Ajụjụ a na-ajụkarị
Kedu ihe bụ Point Cloud Processing?
Igwe ojii bụ isi ihe 3D (X, Y, Z) na-ejide udi nke ezigbo ihe na oghere, mgbe mgbe site na LiDAR ma ọ bụ ihe mmetụta miri emi. Nhazi igwe ojii bụ ka igwe si ehicha, hazie, ma ghọta ntụpọ 3D ndị a siri ike ịmata, kewaa, na ịnyagharịa n'ụwa.
Gịnị bụ isi urukpuru?
Igwe ojii bụ isi ihe nwere nhazi X, Y, Z (mgbe ụfọdụ gbakwunyere agba ma ọ bụ ike) nke na-ejide geometry nke ihe na ihe nkiri.
Kedu ihe kpatara na enweghị ike itinye CNN ọkọlọtọ ozugbo na igwe ojii?
Ihe onyonyo CNN na-eche na grid pikselụ edobere, mana igwe ojii anaghị adịkarị na enweghị usoro, yabụ achọrọ ụlọ ọrụ pụrụ iche.
Kedu ihe bụ isi ihe netwọk igwe ojii kwesịrị ịkwanyere ugwu?
Ebe ọ bụ na enwere ike ịdepụta otu ígwé ojii ahụ n'usoro ọ bụla, netwọk ahụ ga-emepụta otu mmepụta ihe n'agbanyeghị agbanyeghị ịtụ.
Kedu ka PointNet siri nweta nnwere onwe n'usoro?
PointNet na-eji netwọk ekekọrịtara na-ahazi isi ihe ọ bụla, wee chịkọta ya na max-pooling, nke bụ symmetric na-eleghara ịtụ anya.
Kedu ihe algọridim nke Iterative Closest Point (ICP) na-eme?
ICP na-adakọ ọnụ n'akụkụ dị nso n'etiti nyocha abụọ wee chọpụta mgbanwe siri ike nke kacha kwekọọ ha, ejiri maka ndebanye aha.