{"id":2998,"date":"2025-10-13T07:23:47","date_gmt":"2025-10-13T07:23:47","guid":{"rendered":"https:\/\/www.satlabgeo.com\/?post_type=industries&#038;p=2998"},"modified":"2025-10-16T07:26:40","modified_gmt":"2025-10-16T07:26:40","slug":"from-riverbed-to-superstructure-full-scene-bridge-inspection-with-uav-lidar-usv-multibeam-solution","status":"publish","type":"industries","link":"https:\/\/www.satlabgeo.com\/fr\/industries\/from-riverbed-to-superstructure-full-scene-bridge-inspection-with-uav-lidar-usv-multibeam-solution\/","title":{"rendered":"Inspection compl\u00e8te des ponts avec solution multifaisceaux UAV LiDAR et USV"},"content":{"rendered":"<div style=\"text-align: center; margin: 20px 0;\"><a href=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2025\/10\/Full-Scene-Bridge-Inspection-with-UAV-LiDAR-USV-Multibeam-Solutions.pdf\" style=\"display: inline-block; padding: 12px 24px; background-color: #595757; \/* \u521d\u59cb\u80cc\u666f\u8272\uff08\u9ec4\u8272\uff09 *\/ color: #fff; \/* \u6587\u5b57\u989c\u8272 *\/ text-decoration: none; font-family: Avenir, sans-serif; font-size: 18px; border-radius: 6px; transition: background-color 0.3s;\">T\u00e9l\u00e9charger l&#039;article complet &gt;&gt;&gt;<\/a><\/div>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 26px; color: #fabf13;\"><em><strong>Bref<\/strong><\/em><\/span><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\">Cette \u00e9tude de cas d\u00e9montre un flux de travail d&#039;inspection int\u00e9gr\u00e9 combinant drones et v\u00e9hicules de surface sans pilote. <a href=\"https:\/\/www.satlabgeo.com\/fr\/product\/hydroboat-1200mb-usv-multibeam-solution\/\" style=\"color: #fabf13;\">HydroBoat 1200MB de SatLab<\/a> avec le <a href=\"https:\/\/www.satlabgeo.com\/fr\/product\/apus-mx-uav-lidar\/\" style=\"color: #fabf13;\">LiDAR Apus-MX<\/a> Sur un drone DJI M350 RTK, cette solution permet une acquisition de donn\u00e9es continue du lit de la rivi\u00e8re \u00e0 la superstructure du pont, offrant une v\u00e9ritable vue 3D du lit de la rivi\u00e8re au tablier qui permet une \u00e9valuation pr\u00e9cise, des op\u00e9rations plus s\u00fbres et une gestion du cycle de vie plus intelligente.<\/span><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 26px; color: #fabf13;\"><em><strong>D\u00e9fis<\/strong><\/em><\/span><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\">Le site du projet \u00e9tait un important pont traversant une rivi\u00e8re, avec des fondations de piles immerg\u00e9es, des chenaux \u00e9troits, des zones humides peu profondes et des \u00e9l\u00e9ments structuraux sur\u00e9lev\u00e9s. Les m\u00e9thodes d&#039;inspection traditionnelles pr\u00e9sentent de multiples limites\u00a0:<\/span><\/p>\n<ul style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\">\n<li style=\"list-style-type: none;\">\n<ul style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\">\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Limitations d&#039;accessibilit\u00e9<\/strong>Les relev\u00e9s effectu\u00e9s par des plongeurs et les navires habit\u00e9s sont limit\u00e9s par le d\u00e9bit de l&#039;eau, la turbidit\u00e9 et l&#039;\u00e9troitesse des zones portuaires.<\/li>\n<li><strong>Risques pour la s\u00e9curit\u00e9<\/strong>Les inspections manuelles en haute altitude ou sous-marines exposent le personnel \u00e0 des dangers.<\/li>\n<li><strong>Ensembles de donn\u00e9es fragment\u00e9s<\/strong>Les relev\u00e9s effectu\u00e9s au-dessus et en dessous de l&#039;eau s&#039;int\u00e8grent rarement de mani\u00e8re transparente, ce qui rend difficile la mod\u00e9lisation 3D compl\u00e8te et l&#039;\u00e9valuation structurelle.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\">Une solution int\u00e9gr\u00e9e, \u00e0 la fois au-dessus et en dessous de l&#039;eau, \u00e9tait n\u00e9cessaire pour fournir une \u00e9valuation structurelle compl\u00e8te, pr\u00e9cise et s\u00fbre.<\/span><\/p>\n<p style=\"text-align: center;\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-1.-Survey-Site-Overview-1024x487.webp\" alt=\"Cartographie de la v\u00e9g\u00e9tation par lidar\" width=\"600\" height=\"300\" class=\"aligncenter wp-image-940\" \/><\/p>\n<p><!-- \u6bb5\u843d\u5185\u5bb9 --><br \/>\n<span style=\"font-family: Avenir, sans-serif; font-size: 26px; color: #fabf13; margin-top: 4px;\"><em><strong>Solution<\/strong><\/em><\/span><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 20px; line-height: 1.6; padding: 20px;\">SatLab a mis en \u0153uvre un flux de travail d&#039;inspection \u00e0 double plateforme\u00a0:<\/span><\/p>\n<ul>\n<li style=\"font-family: Avenir, sans-serif; font-size: 18px; font-weight: bold; list-style-type: disc; padding-left: 24px; line-height: 1.6;\">HydroBoat 1200MB \u2014 Solution multifaisceaux USV\n<ul style=\"font-family: Avenir, sans-serif; font-size: 18px; font-weight: normal; list-style-type: circle; padding-left: 20px; line-height: 1.6;\">\n<li>Fournit des cartographies bathym\u00e9triques haute r\u00e9solution et des lev\u00e9s de fondations de jet\u00e9es.<\/li>\n<li>Permet un d\u00e9ploiement rapide et des enqu\u00eates compl\u00e9mentaires flexibles<\/li>\n<li>Se d\u00e9place de mani\u00e8re autonome en \u00e9vitant les obstacles dans des espaces confin\u00e9s ou complexes.<\/li>\n<li>Mesure avec pr\u00e9cision sans SVP, pr\u00e9servant la pr\u00e9cision tout en simplifiant le flux de travail et en am\u00e9liorant l&#039;efficacit\u00e9<\/li>\n<li>Permet une acquisition de donn\u00e9es fiable m\u00eame dans des eaux \u00e0 faible visibilit\u00e9.<\/li>\n<\/ul>\n<\/li>\n<li style=\"font-family: Avenir, sans-serif; font-size: 18px; font-weight: bold; list-style-type: disc; padding-left: 24px; line-height: 1.6;\">DJI M350 RTK + LiDAR Apus-MX \u2014 Solution LiDAR pour drones\n<ul style=\"font-family: Avenir, sans-serif; font-size: 18px; font-weight: normal; list-style-type: circle; padding-left: 20px; line-height: 1.6;\">\n<li>Acquisition rapide et \u00e0 haute densit\u00e9 de nuages de points 3D des tabliers de pont, des piles, des soffites et du terrain environnant<\/li>\n<li>D\u00e9tecte les d\u00e9fauts \u00e0 petite \u00e9chelle tels que les fissures, l&#039;\u00e9caillage ou la corrosion<\/li>\n<li>Les trajectoires de vol agiles permettent de couvrir des g\u00e9om\u00e9tries structurelles complexes sans angles morts.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div style=\"display: flex; gap: 20px; \/* \u56fe\u7247\u95f4\u8ddd *\/ justify-content: center; \/* \u6c34\u5e73\u5c45\u4e2d *\/ align-items: center; \/* \u5782\u76f4\u5c45\u4e2d *\/ margin: 20px 0; padding: 0 15px; \/* \u907f\u514d\u8fb9\u7f18\u8d34\u7d27\u5c4f\u5e55 *\/ width: 100%; \/* \u7236\u5bb9\u5668\u5360\u6ee1\u5bbd\u5ea6 *\/ box-sizing: border-box;\"><!-- \u7b2c\u4e00\u5f20\u56fe\uff1a\u5360\u6bd450%\uff08\u51cf\u53bb\u95f4\u8ddd\u540e\u81ea\u52a8\u5206\u914d\uff09 --><br \/>\n<img decoding=\"async\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-2.-HydroBoat-1200MB.webp\" alt=\"HydroBoat 1200 Mo\" style=\"width: 50%; \/* \u5360\u7236\u5bb9\u5668\u4e00\u534a\u5bbd\u5ea6\uff08\u4e0d\u542b\u95f4\u8ddd\uff09 *\/ max-width: 600px; \/* \u6700\u5927\u5bbd\u5ea6\u9650\u5236\uff08\u907f\u514d\u8fc7\u5927\uff09 *\/ height: auto; \/* \u7b49\u6bd4\u4f8b\u7f29\u653e *\/ flex-shrink: 1;\" \/><br \/>\n<!-- \u7b2c\u4e8c\u5f20\u56fe\uff1a\u4e0e\u7b2c\u4e00\u5f20\u4fdd\u6301\u76f8\u540c\u89c4\u5219 --><br \/>\n<img decoding=\"async\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-3.-DJI-M350-RTK-Apus-MX-LiDAR.webp\" alt=\"DJI M350 RTK\" style=\"width: 50%; max-width: 600px; height: auto; flex-shrink: 1;\" \/><\/div>\n<ul>\n<li style=\"font-family: Avenir, sans-serif; font-size: 18px; font-weight: bold; list-style-type: disc; padding-left: 24px; line-height: 1.6;\">Logiciel de traitement SLHydroBeam \u2014 Plateforme d&#039;int\u00e9gration de donn\u00e9es\n<ul style=\"font-family: Avenir, sans-serif; font-size: 18px; font-weight: normal; list-style-type: circle; padding-left: 20px; line-height: 1.6;\">\n<li>Int\u00e8gre les donn\u00e9es sonar et LiDAR dans un jumeau num\u00e9rique 3D unique.<\/li>\n<li>Prend en charge la mod\u00e9lisation automatis\u00e9e, la d\u00e9tection des d\u00e9fauts et la g\u00e9n\u00e9ration de rapports analytiques.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p style=\"text-align: center;\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-4.-SLHydroBeam-Processing-Software-1024x568.webp\" alt=\"Logiciel de traitement SLHydroBeam\" width=\"600\" height=\"auto\" class=\"aligncenter wp-image-940\" \/><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\">En synchronisant les op\u00e9rations des drones et des USV, la solution a permis une fusion de donn\u00e9es transparente, comblant ainsi le foss\u00e9 entre l&#039;inspection sous-marine et a\u00e9rienne.<\/span><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 26px; color: #fabf13;\"><em><strong>Flux de travail op\u00e9rationnel<\/strong><\/em><\/span><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\"><br \/>\n<strong>1. Planifier les missions<\/strong><br \/>\nD\u00e9finir les itin\u00e9raires des USV et les trajectoires de vol des UAV en fonction des plans de conception et du terrain ; aligner les points de contr\u00f4le et les syst\u00e8mes de coordonn\u00e9es.<\/span><\/p>\n<p style=\"text-align: center;\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-5.-Mission-Planning-1024x389.webp\" alt=\"Planification de mission\" width=\"600\" height=\"auto\" class=\"aligncenter wp-image-940\" \/><\/p>\n<p><strong>2. Acquisition des donn\u00e9es<\/strong><br \/>\nLe USV d\u00e9ploie des lignes sonar le long des axes des jet\u00e9es ; le drone effectue simultan\u00e9ment des passages LiDAR en quadrillage au-dessus du pont et des soffites.<\/p>\n<div style=\"display: flex; gap: 20px; \/* \u56fe\u7247\u95f4\u8ddd *\/ justify-content: center; \/* \u6c34\u5e73\u5c45\u4e2d *\/ align-items: center; \/* \u5782\u76f4\u5c45\u4e2d *\/ margin: 20px 0; padding: 0 15px; \/* \u907f\u514d\u8fb9\u7f18\u8d34\u7d27\u5c4f\u5e55 *\/ width: 100%; \/* \u7236\u5bb9\u5668\u5360\u6ee1\u5bbd\u5ea6 *\/ box-sizing: border-box;\"><!-- \u7b2c\u4e00\u5f20\u56fe\uff1a\u5360\u6bd450%\uff08\u51cf\u53bb\u95f4\u8ddd\u540e\u81ea\u52a8\u5206\u914d\uff09 --><br \/>\n<img decoding=\"async\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-6.-Automated-Underwater-Survey-in-Progress.webp\" alt=\"Lev\u00e9s sous-marins automatis\u00e9s en cours\" style=\"width: 50%; \/* \u5360\u7236\u5bb9\u5668\u4e00\u534a\u5bbd\u5ea6\uff08\u4e0d\u542b\u95f4\u8ddd\uff09 *\/ max-width: 600px; \/* \u6700\u5927\u5bbd\u5ea6\u9650\u5236\uff08\u907f\u514d\u8fc7\u5927\uff09 *\/ height: auto; \/* \u7b49\u6bd4\u4f8b\u7f29\u653e *\/ flex-shrink: 1;\" \/><br \/>\n<!-- \u7b2c\u4e8c\u5f20\u56fe\uff1a\u4e0e\u7b2c\u4e00\u5f20\u4fdd\u6301\u76f8\u540c\u89c4\u5219 --><br \/>\n<img decoding=\"async\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-7.-Automated-Aerial-Survey-in-Progress.webp\" alt=\"Lev\u00e9 a\u00e9rien automatis\u00e9 en cours\" style=\"width: 50%; max-width: 600px; height: auto; flex-shrink: 1;\" \/><\/div>\n<p><strong>3. V\u00e9rifier sur place<\/strong><br \/>\nSurveillance en temps r\u00e9el de la couverture et des chevauchements ; v\u00e9rifications crois\u00e9es avec des points de contr\u00f4le pour garantir la pr\u00e9cision du positionnement.<\/p>\n<p style=\"text-align: center;\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-8.-Overlay-Analysis-for-Accuracy-Verification.webp\" alt=\"Analyse de superposition pour la v\u00e9rification de l&#039;exactitude\" width=\"600\" height=\"auto\" class=\"aligncenter wp-image-940\" \/><\/p>\n<p><strong>4. Donn\u00e9es de traitement et de fusion<\/strong><\/p>\n<ul style=\"font-family: Avenir, sans-serif; font-size: 18px; padding-left: 20px;\">\n<li>Multifaisceaux\u00a0: corrections de mouvement\/mar\u00e9e, filtrage, maillage bathym\u00e9trique<\/li>\n<li>LiDAR\u00a0: r\u00e9glage de la bande, \u00e9talonnage de l\u2019intensit\u00e9, rep\u00e9rage pr\u00e9cis<\/li>\n<li>Fusion : alignement sans rupture dans un mod\u00e8le superstructure-infrastructure<\/li>\n<\/ul>\n<p style=\"text-align: center;\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-9.-Data-Processing.webp\" alt=\"Traitement des donn\u00e9es\" width=\"600\" height=\"auto\" class=\"aligncenter wp-image-940\" \/><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 26px; color: #fabf13;\"><em><strong>Livrables<\/strong><\/em><\/span><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\">Le projet a permis de r\u00e9aliser un jumeau num\u00e9rique 3D complet int\u00e9grant harmonieusement les donn\u00e9es sonar et LiDAR. Ce mod\u00e8le comprend des couches th\u00e9matiques d\u00e9taill\u00e9es, notamment la profondeur d&#039;affouillement, la g\u00e9om\u00e9trie des piles, la distribution des fissures et les profils de d\u00e9gagement, fournissant ainsi un ensemble de donn\u00e9es structurelles complet, pr\u00eat pour l&#039;inspection et l&#039;analyse.<\/span><\/p>\n<div style=\"display: flex; gap: 15px; \/* \u56fe\u7247\u4e4b\u95f4\u7684\u95f4\u8ddd *\/ justify-content: center; \/* \u6c34\u5e73\u5c45\u4e2d *\/ align-items: center; \/* \u5782\u76f4\u5c45\u4e2d *\/ margin: 20px 0; padding: 0 15px; \/* \u5de6\u53f3\u7559\u8fb9\u8ddd\uff0c\u907f\u514d\u8d34\u5c4f\u5e55\u8fb9\u7f18 *\/ width: 100%; box-sizing: border-box;\"><!-- \u7b2c\u4e00\u5f20\u56fe --><br \/>\n<img decoding=\"async\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-10.-3D-Point-Cloud-of-Bridge-and-Riverbed.webp\" alt=\"Nuage de points 3D du pont et du lit de la rivi\u00e8re\" style=\"width: 33.333%; \/* \u4e09\u56fe\u5e73\u5747\u5206\u914d\u5bbd\u5ea6\uff08\u7ea61\/3\uff09 *\/ max-width: 400px; \/* \u5355\u5f20\u56fe\u6700\u5927\u5bbd\u5ea6\u9650\u5236 *\/ height: auto; \/* \u7b49\u6bd4\u4f8b\u7f29\u653e *\/ flex-shrink: 1;\" \/><br \/>\n<!-- \u7b2c\u4e8c\u5f20\u56fe --><br \/>\n<img decoding=\"async\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/3D-Point-Cloud-of-Bridge-and-Riverbed-2.webp\" alt=\"Nuage de points 3D du pont et du lit de la rivi\u00e8re\" style=\"width: 33.333%; max-width: 400px; height: auto; flex-shrink: 1;\" \/><br \/>\n<!-- \u7b2c\u4e09\u5f20\u56fe --><br \/>\n<img decoding=\"async\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/3D-Point-Cloud-of-Bridge-and-Riverbed-3.webp\" alt=\"Nuage de points 3D du pont et du lit de la rivi\u00e8re\" style=\"width: 33.333%; max-width: 400px; height: auto; flex-shrink: 1;\" \/><\/div>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 26px; color: #fabf13;\"><em><strong>Avantages<\/strong><\/em><\/span><\/p>\n<ul style=\"font-family: Avenir, sans-serif; font-size: 18px;\">\n<li>Couverture int\u00e9grale de la sc\u00e8ne<br \/>\nContrairement aux m\u00e9thodes traditionnelles qui manquent souvent les zones sous-marines ou de haute altitude, le flux de travail int\u00e9gr\u00e9 sonar et LiDAR a assur\u00e9 une couverture compl\u00e8te du lit de la rivi\u00e8re \u00e0 la superstructure.<\/li>\n<li>Pr\u00e9cision haute r\u00e9solution<br \/>\nLe flux de travail a permis de capturer des d\u00e9tails structurels pr\u00e9cis, fournissant le niveau de pr\u00e9cision n\u00e9cessaire \u00e0 une \u00e9valuation fiable de l&#039;affouillement et des d\u00e9fauts.<\/li>\n<li>Efficacit\u00e9 et s\u00e9curit\u00e9 accrues<br \/>\nLe temps d&#039;inspection a \u00e9t\u00e9 consid\u00e9rablement r\u00e9duit, tandis que l&#039;exposition humaine aux op\u00e9rations sous-marines et en haute altitude dangereuses a \u00e9t\u00e9 minimis\u00e9e.<\/li>\n<li>Sortie du jumeau num\u00e9rique<br \/>\nLivraison d&#039;un mod\u00e8le 3D enti\u00e8rement int\u00e9gr\u00e9, permettant une surveillance continue, une \u00e9valuation de l&#039;\u00e9tat et une planification de la maintenance pr\u00e9dictive.<\/li>\n<\/ul>\n<p style=\"text-align: center;\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.satlabgeo.com\/wp-content\/uploads\/2023\/09\/Figure-11.-Integrated-Above-and-Underwater-Operations.webp\" alt=\"Op\u00e9rations int\u00e9gr\u00e9es de surface et sous-marines\" width=\"600\" height=\"auto\" class=\"aligncenter wp-image-940\" \/><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 26px; color: #fabf13;\"><em><strong>Conclusion<\/strong><\/em><\/span><\/p>\n<p><span style=\"font-family: Avenir, sans-serif; font-size: 18px; line-height: 1.6; padding-left: 20px;\">L&#039;utilisation coordonn\u00e9e du LiDAR embarqu\u00e9 sur drone et du sonar multifaisceaux embarqu\u00e9 sur USV permet une inspection compl\u00e8te de la surface et du sous-sol, offrant aux op\u00e9rateurs une m\u00e9thode plus intelligente, plus s\u00fbre et plus exhaustive pour la gestion des infrastructures de ponts \u2013 des inspections actuelles \u00e0 la maintenance pr\u00e9dictive de demain. Le flux de travail int\u00e9gr\u00e9 de SatLab fournit des donn\u00e9es fiables, compl\u00e8tes et exploitables pour une gestion efficace et \u00e9clair\u00e9e des infrastructures.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Un flux de travail int\u00e9gr\u00e9 UAV\u2013USV avec HydroBoat 1200MB et Apus-MX LiDAR sur DJI M350 RTK fournit des donn\u00e9es 3D fluides du lit de la rivi\u00e8re au tablier du pont pour une inspection des infrastructures pr\u00e9cise, s\u00fbre et intelligente.<\/p>","protected":false},"featured_media":0,"parent":0,"template":"","meta":{"_links_to":"","_links_to_target":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Full-Scene Bridge Inspection with UAV LiDAR &amp; USV Multibeam Solution | Global Satellite Positioning Solutions | SatLab Geosolutions AB<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.satlabgeo.com\/fr\/industries\/from-riverbed-to-superstructure-full-scene-bridge-inspection-with-uav-lidar-usv-multibeam-solution\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Full-Scene Bridge Inspection with UAV LiDAR &amp; 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