{"id":65891,"date":"2021-06-08T10:11:03","date_gmt":"2021-06-08T08:11:03","guid":{"rendered":"https:\/\/www.cidn.fr\/?page_id=65891"},"modified":"2022-08-03T14:36:24","modified_gmt":"2022-08-03T12:36:24","slug":"recherche","status":"publish","type":"page","link":"https:\/\/www.cidn.fr\/recherche\/","title":{"rendered":"Recherche"},"content":{"rendered":"

[et_pb_section fb_built=”1″ specialty=”on” admin_label=”HERO” _builder_version=”4.16″ _module_preset=”default” background_color=”#F8F8F8″ inner_width=”90%” custom_margin=”||||false|false” custom_padding=”2rem||2rem||true|false” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.cidn.fr\/wp-content\/uploads\/sites\/16\/2016\/07\/NAE_Pictos-RTI_Capteurs.png” title_text=”NAE_Pictos-RTI_Capteurs” _builder_version=”4.16″ _module_preset=”default” max_width=”260px” module_alignment=”center” animation_style=”fade” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ specialty_columns=”3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_row_inner _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column_inner saved_specialty_column_type=”3_4″ _builder_version=”4.9.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_font=”|700|||||||” header_font_size=”60px” header_2_font=”|||on|||||” header_2_text_color=”#435363″ header_2_font_size=”16px” background_enable_color=”off” transform_scale_tablet=”” transform_scale_phone=”” transform_scale_last_edited=”on|phone” transform_translate_tablet=”0vw|0px” transform_translate_phone=”0vw|0px” transform_translate_last_edited=”on|phone” transform_translate_linked=”off” transform_rotate_tablet=”” transform_rotate_phone=”” transform_rotate_last_edited=”on|phone” transform_skew_tablet=”” transform_skew_phone=”” transform_skew_last_edited=”on|phone” transform_origin_tablet=”” transform_origin_phone=”” transform_origin_last_edited=”on|phone” transform_styles_last_edited=”on|phone” custom_padding=”||||false|false” custom_padding_tablet=”3rem|4rem|3rem|4rem|true|true” custom_padding_phone=”2rem|2rem|2rem|2rem|true|true” custom_padding_last_edited=”on|phone” animation_style=”slide” animation_direction=”left” animation_delay=”300ms” animation_intensity_slide=”5%” background_color_phone=”#F8F8F8″ background_last_edited=”on|phone” background_enable_color_phone=”on” transform_styles_tablet=”” transform_styles_phone=”” global_colors_info=”{}”]<\/p>\n

Recherche<\/span><\/h1>\n

Lever des verrous technologiques, innover et cr\u00e9er.<\/p>\n

[\/et_pb_text][\/et_pb_column_inner][\/et_pb_row_inner][et_pb_row_inner _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column_inner saved_specialty_column_type=”3_4″ _builder_version=”4.9.4″ _module_preset=”default” custom_css_main_element=”display:flex;||align-items:center;||flex-wrap:wrap;” global_colors_info=”{}” custom_css_main_element_last_edited=”on|phone” custom_css_main_element_phone=”display:flex;||flex-direction:column;||justify-content:center;||align-items:center;” custom_css_main_element_tablet=”display:flex;||justify-content:center;”][et_pb_button button_url=”#vol-essaim” button_text=”Vol en essaim de drones” disabled_on=”off|off|off” _builder_version=”4.16″ _module_preset=”default” custom_button=”on” button_icon=”"||divi||400″ button_on_hover=”off” custom_margin=”0px|2rem|1rem||false|false” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” animation_style=”slide” animation_direction=”bottom” animation_delay=”500ms” animation_intensity_slide=”20%” global_colors_info=”{}”][\/et_pb_button][et_pb_button button_url=”#integration-capteurs” button_text=”Int\u00e9gration de capteurs ” _builder_version=”4.16″ _module_preset=”default” custom_button=”on” button_icon=”"||divi||400″ button_on_hover=”off” custom_margin=”0px|2rem|1rem||false|false” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” animation_style=”slide” animation_direction=”bottom” animation_delay=”750ms” animation_intensity_slide=”20%” global_colors_info=”{}”][\/et_pb_button][et_pb_button button_url=”#theses” button_text=”Th\u00e8ses” _builder_version=”4.16″ _module_preset=”default” custom_button=”on” button_icon=”"||divi||400″ button_on_hover=”off” custom_margin=”0px|2rem|1rem||false|false” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” animation_style=”slide” animation_direction=”bottom” animation_delay=”750ms” animation_intensity_slide=”20%” global_colors_info=”{}”][\/et_pb_button][et_pb_button button_url=”#intelligence-artificielle” button_text=”Intelligence artificielle (IA)” _builder_version=”4.16″ _module_preset=”default” custom_button=”on” button_icon=”"||divi||400″ button_on_hover=”off” custom_margin=”0px|2rem|1rem||false|false” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” animation_style=”slide” animation_direction=”bottom” animation_delay=”1000ms” animation_intensity_slide=”20%” global_colors_info=”{}”][\/et_pb_button][et_pb_button button_url=”#projets” button_text=”Projets” _builder_version=”4.16″ _module_preset=”default” custom_button=”on” button_icon=”"||divi||400″ button_on_hover=”off” custom_margin=”0px|2rem|1rem||false|false” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” animation_style=”slide” animation_direction=”bottom” animation_delay=”1000ms” animation_intensity_slide=”20%” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][\/et_pb_section][et_pb_section fb_built=”1″ prev_background_color=”#F8F8F8″ disabled_on=”off|off|off” admin_label=”AXES DEVELOPPEMENTS SECTION” module_id=”vol-essaim” _builder_version=”4.16″ _module_preset=”default” top_divider_style=”slant” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” admin_label=”Ligne” _builder_version=”4.16″ _module_preset=”default” width=”90%” global_colors_info=”{}”][et_pb_column type=”1_2″ module_class=”vertical-align” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_2_font=”|700||on|||||” header_2_font_size=”60px” width=”100%” header_2_font_size_tablet=”” header_2_font_size_phone=”36px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

VOL EN ESSAIM
<\/span>DE DRONES<\/h2>\n

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Les recherches autour du vol en formation \u2013 ou en essaim \u2013 visent \u00e0 faire voler ensemble quatre drones, puis ult\u00e9rieurement huit drones, via des algorithmes d\u00e9centralis\u00e9s innovants int\u00e9grant des fonctions de reconfiguration, d\u2019anticollisions et d\u2019\u00e9vitement d\u2019obstacles.<\/p>\n

Ces m\u00e9thodes pourront \u00eatre appliqu\u00e9es \u00e0 l\u2019\u00e9valuation de la qualit\u00e9 d\u2019air, la d\u00e9tection de pollutions d\u2019origines diverses ou encore la surveillance de sites.<\/p>\n

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SIMULATEUR
<\/span>DE VOLS – ESSAIMS<\/h3>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_video src=”https:\/\/www.youtube.com\/watch?v=yF-kpx2OySo” image_src=”\/\/i.ytimg.com\/vi\/yF-kpx2OySo\/hqdefault.jpg” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_video][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ prev_background_color=”#ffffff” disabled_on=”off|off|off” admin_label=”ACTUALITES – SECTION” module_id=”locaux” _builder_version=”4.16″ _module_preset=”default” background_color=”#F8F8F8″ top_divider_style=”mountains” bottom_divider_style=”mountains” bottom_divider_color=”#FFFFFF” locked=”off” global_colors_info=”{}”][et_pb_row disabled_on=”off|off|off” _builder_version=”4.16″ _module_preset=”default” width=”90%” max_width=”980px” custom_margin=”-7rem||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_2_font=”|700||on|||||” header_2_font_size=”60px” header_3_font_size=”45px” width=”100%” header_2_font_size_tablet=”” header_2_font_size_phone=”36px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

SQUADRONE
<\/span>SYSTEM<\/h3>\n

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“Squadrone System est un concepteur et fabricant de solutions drones pour les entreprises industrielles et logistiques qui souhaitent am\u00e9liorer significativement leur efficacit\u00e9 op\u00e9rationnelle ou cr\u00e9er de nouvelles offres. Contrairement aux fabricants de drones grand public qui proposent des produits ferm\u00e9s, l\u2019entreprise d\u00e9veloppe ou\u00a0co-d\u00e9veloppe des drones autonomes ouverts avec des charges utiles sp\u00e9cifiques.<\/p>\n

 <\/p>\n

Squadrone System a plusieurs activit\u00e9s.<\/h3>\n

Tout d\u2019abord, un bureau d\u2019\u00e9tude et d\u2019ing\u00e9nierie\u00a0<\/b>sp\u00e9cialis\u00e9 en conception et automatisation de drone professionnels, int\u00e9gration de capteurs, et d\u00e9veloppements logiciels. Et une seconde activit\u00e9 ax\u00e9e produits dont la solution drone autonome d\u2019inventaire\u00a0EyeSee\u00a0par lecture de codes \u00e0 barres pour les entrep\u00f4ts (drone int\u00e9rieur), la solution drone d\u2019inventaire de parcs de stockages ext\u00e9rieurs par lecture RFID, ou encore le simulateur drone pour le d\u00e9veloppement.<\/p>\n

 <\/p>\n

Squadrone System a fourni aux \u00e9quipes de chercheurs 4\u00a0solutions simulateurs drone<\/b><\/u>\u00a0<\/b>pour leur permettre de mettre au point leurs algorithmes de contr\u00f4le \/ commande d\u2019essaims de drones. Ces travaux seront port\u00e9s sur de v\u00e9ritables plateformes physiques \u00e9quip\u00e9es d\u2019un autopilote Squadrone System.<\/p>\n

Pour mettre au point cette exp\u00e9rimentation, plusieurs simulateurs de vol (de type \u00ab hardware in the loop \u00bb) ont \u00e9t\u00e9 achet\u00e9s \u00e0 la soci\u00e9t\u00e9 Squadrone System en compl\u00e9ment des contr\u00f4leurs de vol, des moyens de communication radio et des PC embarqu\u00e9s sur les drones.<\/p>\n

Chaque simulateur de drone est en mesure de reproduire le comportement dynamique du drone pendant le vol et est associ\u00e9 \u00e0 un PC embarqu\u00e9 de type \u00ab Raspberry PI \u00bb, identique \u00e0 celui install\u00e9 sur le v\u00e9ritable drone, et sur lequel s\u2019effectue la programmation en langage C++ \u00e0 partir d\u2019une biblioth\u00e8que de fonctions (API).<\/p>\n

 <\/p>\n

\n

Le vol du drone peut \u00eatre observ\u00e9 en 3D sur un autre PC avec le logiciel open-source \u00ab FlightGear \u00bb et l\u2019ensemble des param\u00e8tres de vol (coordonn\u00e9es gps, altitude, cap, vitesses\u2026) peut \u00eatre enregistr\u00e9 en temps r\u00e9el.<\/p>\n<\/blockquote>\n

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Squadrone System a fourni aux \u00e9quipes de chercheurs 4\u00a0solutions simulateurs drone<\/b><\/u>\u00a0<\/b>pour leur permettre de mettre au point leurs algorithmes de contr\u00f4le \/ commande d\u2019essaims de drones. Ces travaux seront port\u00e9s sur de v\u00e9ritables plateformes physiques \u00e9quip\u00e9es d\u2019un autopilote Squadrone System.<\/p>\n

Pour mettre au point cette exp\u00e9rimentation, plusieurs simulateurs de vol (de type \u00ab hardware in the loop \u00bb) ont \u00e9t\u00e9 achet\u00e9s \u00e0 la soci\u00e9t\u00e9 Squadrone System en compl\u00e9ment des contr\u00f4leurs de vol, des moyens de communication radio et des PC embarqu\u00e9s sur les drones.<\/p>\n

Chaque simulateur de drone est en mesure de reproduire le comportement dynamique du drone pendant le vol et est associ\u00e9 \u00e0 un PC embarqu\u00e9 de type \u00ab Raspberry PI \u00bb, identique \u00e0 celui install\u00e9 sur le v\u00e9ritable drone, et sur lequel s\u2019effectue la programmation en langage C++ \u00e0 partir d\u2019une biblioth\u00e8que de fonctions (API).<\/p>\n

 <\/p>\n

\n

Le vol du drone peut \u00eatre observ\u00e9 en 3D sur un autre PC avec le logiciel open-source \u00ab FlightGear \u00bb et l\u2019ensemble des param\u00e8tres de vol (coordonn\u00e9es gps, altitude, cap, vitesses\u2026) peut \u00eatre enregistr\u00e9 en temps r\u00e9el.<\/p>\n<\/blockquote>\n

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intelligence\u00a0
<\/span>artificielle (IA)<\/h2>\n

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INT\u00c9GRATION
<\/span>CAPTEURS<\/h3>\n

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Les travaux en cours portent sur l’int\u00e9gration de capteurs de microparticules pour \u00e9valuer la qualit\u00e9 de l’air par drone apr\u00e8s un accident industriel. Ces travaux s’effectuent en partenariat avec l’INERIS et la soci\u00e9t\u00e9 LAUGUICONCEPT (https:\/\/lauguiconcept.fr\/<\/a>). Un autre objectif est la mod\u00e9lisation des panaches de fum\u00e9e pour pr\u00e9dire la propagation des polluants et des rejets toxiques. Pour cela, l’int\u00e9gration d’une cam\u00e9ra SWIR (NIT Technologies :\u00a0https:\/\/new-imaging-technologies.com\/<\/a>) est \u00e9galement envisag\u00e9e.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|off|off” admin_label=”ACTUALITES – SECTION” module_id=”locaux” _builder_version=”4.16″ _module_preset=”default” background_enable_color=”off” global_colors_info=”{}”][et_pb_row disabled_on=”off|off|off” module_id=”theses” _builder_version=”4.16″ _module_preset=”default” width=”90%” max_width=”980px” custom_margin=”-7rem||-3rem||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_2_font=”|700||on|||||” header_2_font_size=”60px” header_3_font_size=”45px” width=”100%” header_2_font_size_tablet=”” header_2_font_size_phone=”36px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

TH\u00c8SES
<\/span><\/h3>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ disabled_on=”off|off|off” _builder_version=”4.16″ _module_preset=”default” width=”90%” max_width=”980px” custom_margin=”||||false|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.cidn.fr\/wp-content\/uploads\/sites\/16\/2021\/04\/un-vol-coordonne-sans-station-au-sol-ni-pilote-1024×768.jpg” alt=”Vol en essaim de drones” title_text=”un vol coordonn\u00e9, sans station au sol ni pilote” show_bottom_space=”off” align=”center” _builder_version=”4.16″ _module_preset=”default” module_alignment_tablet=”left” module_alignment_phone=”” module_alignment_last_edited=”on|tablet” border_radii=”on|8px|8px|8px|8px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Contr\u00f4le et coordination d\u2019une flotte de drones dans le cadre d\u2019applications civiles
Applications : Evaluation de la qualit\u00e9 de l’air – Inventaires en entrep\u00f4ts logistiques
Bourse ANRT \/ CIFRE – Universit\u00e9 Le Havre Normandie (GREAH – LITIS) – Squadrone System
Doctorant : Etienne Petitprez
Encadrants : Antoine Level, Pierre Avanzini, Francois Guerin, Frederic Guinand depuis octobre 2020<\/p>\n

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DRIVELOG<\/span><\/h3>\n

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(Robotique mobile collective\/collaborative)<\/b><\/h2>\n

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Conception d\u2019un syst\u00e8me automatis\u00e9 associant un robot mobile terrestre et un drone pour r\u00e9aliser de mani\u00e8re autonome un inventaire en entrep\u00f4t logistique (labellisation Novalog et financement de la r\u00e9gion Normandie).<\/p>\n

– Ex\u00e9cution de t\u00e2ches par un ensemble de robots mobiles terrestres ou a\u00e9riens \u00e9voluant de mani\u00e8re autonome et collaborative.
– Pas de station au sol mais une intelligence d\u00e9centralis\u00e9e (algorithmes) dans chaque robot mobile.
– https:\/\/youtu.be\/7JnICIOXImg<\/a><\/p>\n

Partenariat : Drone XTR, Bollore Logistics, CIRCOE, Robotnik, Squadrone Systems<\/p>\n

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DESIHR<\/span>
<\/b><\/b><\/h2>\n

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(Drones en Essaim pour la Surveillance des sites Industriels \u00e0 Hauts Risques)<\/b><\/h2>\n

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DESIHR (retenu dans le cadre de l\u2019ANR RA-SIOMRI) est un projet de recherche portant sur le d\u00e9veloppement d\u2019outils et m\u00e9thodes innovantes permettant d\u2019identifier et caract\u00e9riser les polluants industriels atmosph\u00e9riques. L\u2019objectif est de fournir des donn\u00e9es pour d\u00e9velopper des cartographies pr\u00e9dictives de propagation de substances dangereuses qui pourraient contaminer les milieux.<\/p>\n

DESIHR (retenu dans le cadre de l\u2019ANR RA-SIOMRI) est un projet de recherche portant sur le d\u00e9veloppement d\u2019outils et m\u00e9thodes innovantes permettant d\u2019identifier et caract\u00e9riser les polluants industriels atmosph\u00e9riques. L\u2019objectif est de fournir des donn\u00e9es pour d\u00e9velopper des cartographies pr\u00e9dictives de propagation de substances dangereuses qui pourraient contaminer les milieux.<\/p>\n

Il repose sur l\u2019utilisation d\u2019une flotte de drones capable d\u2019adapter son plan de vol selon les informations acquises afin de remplir deux types de missions li\u00e9es aux incendies industriels. La premi\u00e8re consistera \u00e0 se positionner dans l\u2019axe de dispersion du panache\u00a0de fum\u00e9e\u00a0\u00e0 des distances croissantes de la source afin de r\u00e9aliser des pr\u00e9l\u00e8vements et caract\u00e9riser les substances pr\u00e9sentes.\u00a0La seconde visera \u00e0 acqu\u00e9rir des images vid\u00e9o du panache\u00a0dont les traitements permettront de d\u00e9terminer diff\u00e9rents param\u00e8tres utiles \u00e0 sa mod\u00e9lisation.<\/p>\n

DESIHR est port\u00e9 par six partenaires : Ineris (coordinateur), ULHN (GREAH\/LITIS), ESIGELEC (IRSEEM), Atmo Normandie, Squadrone System et Normandie AeroEspace (NAE), et b\u00e9n\u00e9ficiera de l\u2019appui du Centre d\u2019Innovation Drones Normandie (CIDN).<\/p>\n

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\u00ab Smart car terminal \u00bb <\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”2_5,3_5″ make_equal=”on” admin_label=”Ligne” _builder_version=”4.16″ _module_preset=”default” width=”90%” global_colors_info=”{}”][et_pb_column type=”2_5″ module_class=”vertical-align” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Le projet a pour objectif de r\u00e9aliser un inventaire sur le terminal roulier du port du Havre avec un ou plusieurs drones (de type quadrirotor) \u00e9quip\u00e9s de lecteurs RFID. La navigation des drones s\u2019effectuera de mani\u00e8re autonome \u00e0 une altitude permettant de garantir la lecture des informations enregistr\u00e9es sur les \u00ab tags \u00bb RFID. L\u2019op\u00e9rateur pourra programmer les plans de vol sur une interface \u00ab homme machine \u00bb de type \u00ab tablette \u00bb. Les coordonn\u00e9es GPS des drones seront enregistr\u00e9es et associ\u00e9es \u00e0 chaque d\u00e9tection de \u00ab tag \u00bb RFID pour connaitre l\u2019emplacement ou chaque v\u00e9hicule est stationn\u00e9.<\/p>\n

Partenaires : Universit\u00e9 Le Havre Normandie – CIRCOE – HAROPA – Squadrone System – ROAV7
Financement : R\u00e9gion Normandie depuis janvier 2021<\/p>\n

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Recherche Lever des verrous technologiques, innover et cr\u00e9er.VOL EN ESSAIMDE DRONESLes recherches autour du vol en formation \u2013 ou en essaim \u2013 visent \u00e0 faire voler ensemble quatre drones, puis […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-65891","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/pages\/65891","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/comments?post=65891"}],"version-history":[{"count":10,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/pages\/65891\/revisions"}],"predecessor-version":[{"id":66719,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/pages\/65891\/revisions\/66719"}],"wp:attachment":[{"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/media?parent=65891"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}