{"id":6515,"date":"2024-01-11T14:35:09","date_gmt":"2024-01-11T06:35:09","guid":{"rendered":"https:\/\/ascendas-asia.com\/?page_id=6515"},"modified":"2024-01-11T14:36:41","modified_gmt":"2024-01-11T06:36:41","slug":"deep-learning-for-lidar","status":"publish","type":"page","link":"https:\/\/ascendas-asia.com\/vi\/deep-learning-for-lidar\/","title":{"rendered":"Deep Learning for Lidar"},"content":{"rendered":"<table border=\"0\" cellpadding=\"20\" cellspacing=\"20\" style=\"border-collapse: collapse; width: 99.1453%;\">\n<tbody>\n<tr>\n<td style=\"width: 99.9461%; text-align: center;\">\n<h2 class=\"add_margin_25\" style=\"text-align: center;\"><strong>Apply artificial intelligence techniques to Lidar applications<\/strong><\/h2>\n<p class=\"add_font_color_mediumgray\">\n<h1 class=\"add_font_color_mediumgray\"><\/h1>\n<hr \/>\n<h1><\/h1>\n<table border=\"0\" cellpadding=\"20\" cellspacing=\"20\" height=\"341\" style=\"border-collapse: collapse; width: 99.6974%;\">\n<tbody>\n<tr>\n<td style=\"width: 46.9888%;\">\n<p style=\"text-align: justify;\">Train, test, and deploy deep learning networks on lidar point clouds for object detection and semantic segmentation.<\/p>\n<p style=\"text-align: justify;\">With MATLAB and Simulink, you can:<\/p>\n<ul>\n<li style=\"text-align: justify;\">Preprocess lidar point clouds for applying deep learning algorithms<b><\/b><\/li>\n<li style=\"text-align: justify;\">Use the Lidar Labeler app to label lidar point clouds for object detection<\/li>\n<li style=\"text-align: justify;\">Handle large amounts of data for training, testing, and validation with datastores<\/li>\n<li style=\"text-align: justify;\">Generate C\/C++ and CUDA codes for deep learning workflows for semantic segmentation and object detection on point cloud data<\/li>\n<\/ul>\n<\/td>\n<td style=\"width: 9.60425%;\">\n<\/td>\n<td style=\"width: 43.3733%;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ascendas-asia.com\/wp-content\/uploads\/2024\/01\/Lidar-Toolbox-image.jpg\" width=\"400\" height=\"225\" alt=\"\" style=\"display: block; margin-left: auto; margin-right: auto;\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h1><\/h1>\n<h2 style=\"text-align: center;\"><strong>Why use Deep Learning for Lidar?<\/strong><\/h2>\n<p style=\"text-align: center;\"><span style=\"font-size: 24pt;\">&nbsp;<\/span><\/p>\n<h2 style=\"text-align: center;\"><\/h2>\n<table border=\"0\" height=\"28\" cellpadding=\"20\" cellspacing=\"20\" style=\"border-collapse: collapse; width: 100.148%; height: 479px; margin-left: auto; margin-right: auto;\">\n<tbody>\n<tr style=\"height: 251px;\">\n<td style=\"width: 46.7635%; height: 251px;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ascendas-asia.com\/wp-content\/uploads\/2024\/01\/lidarsemantic.gif\" width=\"400\" height=\"225\" alt=\"\" style=\"float: left;\" \/><\/td>\n<td style=\"width: 11.984%; height: 251px;\"><\/td>\n<td style=\"width: 41.2176%; height: 251px;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ascendas-asia.com\/wp-content\/uploads\/2024\/01\/Object-Detection.gif\" width=\"400\" height=\"225\" alt=\"\" style=\"float: left;\" \/><\/td>\n<\/tr>\n<tr style=\"height: 25px;\">\n<td style=\"width: 46.7635%; height: 25px;\"><\/td>\n<td style=\"width: 11.984%; height: 25px;\"><\/td>\n<td style=\"width: 41.2176%; height: 25px;\"><\/td>\n<\/tr>\n<tr style=\"height: 203px;\">\n<td style=\"width: 46.7635%; height: 203px; vertical-align: top;\">\n<h3 style=\"text-align: left;\"><span style=\"font-size: 18pt;\">Lidar Semantic Segmentation<\/span><\/h3>\n<p style=\"text-align: justify;\">Apply deep learning algorithms to segment lidar point clouds. Train, test, and evaluate semantic segmentation networks, including PointNet++, PointSeg, and SqueezeSegV2, on lidar data.<\/p>\n<\/td>\n<td style=\"width: 11.984%; height: 203px;\"><\/td>\n<td style=\"width: 41.2176%; height: 203px;\">\n<h3 style=\"text-align: left;\"><span style=\"font-size: 18pt;\">Object Detection on Lidar Point Clouds<\/span><\/h3>\n<p style=\"text-align: justify;\">Detect and fit oriented bounding boxes around objects in lidar point clouds and use them for object tracking or lidar labeling workflows. Design, train, and evaluate robust detectors such as PointPillars networks.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 46.7635%; vertical-align: top;\">\n<h3><span style=\"font-size: 18pt;\">&nbsp;<\/span><\/h3>\n<\/td>\n<td style=\"width: 11.984%;\"><\/td>\n<td style=\"width: 41.2176%;\">\n<h3><span style=\"font-size: 18pt;\">&nbsp;<\/span><\/h3>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 46.7635%; vertical-align: top;\">\n<h3><span style=\"font-size: 18pt;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ascendas-asia.com\/wp-content\/uploads\/2024\/01\/lidar-labelling.gif\" width=\"400\" height=\"225\" alt=\"\" style=\"float: left;\" \/><br \/><\/span><\/h3>\n<\/td>\n<td style=\"width: 11.984%;\"><\/td>\n<td style=\"width: 41.2176%;\">\n<h3><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ascendas-asia.com\/wp-content\/uploads\/2024\/01\/deployment.gif\" width=\"400\" height=\"225\" alt=\"\" style=\"float: left;\" \/><\/h3>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 46.7635%; vertical-align: top;\">\n<h3 style=\"text-align: left;\"><span style=\"font-size: 18pt;\">Lidar Labeling<\/span><\/h3>\n<p style=\"text-align: justify;\">Label lidar point clouds for training deep learning models. Apply built-in or custom algorithms to automate lidar point cloud labeling with the Lidar Labeler app and evaluate automation algorithm performance.<\/p>\n<p><span style=\"font-size: 18pt;\"><\/span><\/p>\n<\/td>\n<td style=\"width: 11.984%; vertical-align: top;\"><\/td>\n<td style=\"width: 41.2176%; vertical-align: top;\">\n<h3 style=\"text-align: left;\"><span style=\"font-size: 18pt;\">Deployment<\/span><\/h3>\n<p style=\"text-align: justify;\">Generate CUDA&reg; MEX code for networks like PointPillars, SqueezeSegV2, and PointNet++ to deploy point cloud segmentation or object detection algorithms on GPUs.<\/p>\n<p><span style=\"font-size: 18pt;\"><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 46.7635%; vertical-align: top;\">\n<h2><\/h2>\n<\/td>\n<td style=\"width: 11.984%; vertical-align: top;\"><\/td>\n<td style=\"width: 41.2176%; vertical-align: top;\">\n<h2><\/h2>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 style=\"text-align: center;\"><\/h2>\n<h2 style=\"text-align: left;\"><span style=\"font-size: 24pt;\"><strong>S\u1ea3n Ph\u1ea9m&nbsp;<\/strong><\/span><\/h2>\n<ul>\n<li style=\"text-align: left;\">MATLAB<\/li>\n<li style=\"text-align: left;\">Lidar Toolbox<\/li>\n<li style=\"text-align: left;\">Deep Learning Toolbox<\/li>\n<\/ul>\n<h1><\/h1>\n<p style=\"text-align: center;\"><a class=\"maxbutton-4 maxbutton maxbutton-download-a-free-trial\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/ascendas-asia.com\/vi\/matlab-trial-for-deep-learning\/\"><span class='mb-text'>Download a FREE Trial<\/span><\/a> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <a class=\"maxbutton-1 maxbutton maxbutton-get-quote\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/ascendas-asia.com\/vi\/company\/#contact-us\"><span class='mb-text'>Request Consultation<\/span><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"<p>Apply artificial intelligence techniques to Lidar applications Train, test, and deploy deep learning networks on lidar point clouds for object detection and semantic segmentation. With MATLAB and Simulink, you can: Preprocess lidar point clouds for applying deep learning algorithms Use the Lidar Labeler app to label lidar point clouds for object detection Handle large amounts [&hellip;]<\/p>","protected":false},"author":4,"featured_media":6516,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-6515","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.1 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Deep Learning for Lidar - TechSource Systems &amp; Ascendas Systems Group<\/title>\n<meta name=\"description\" content=\"Train, test, and deploy deep learning networks on lidar point clouds for object detection and semantic segmentation.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ascendas-asia.com\/vi\/deep-learning-for-lidar\/\" \/>\n<meta property=\"og:locale\" content=\"vi_VN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning for Lidar\" \/>\n<meta property=\"og:description\" content=\"Train, test, and deploy deep learning networks on lidar point clouds for object detection and semantic segmentation.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ascendas-asia.com\/vi\/deep-learning-for-lidar\/\" \/>\n<meta property=\"og:site_name\" content=\"TechSource Systems &amp; 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