{"id":383,"date":"2020-04-17T15:33:30","date_gmt":"2020-04-17T13:33:30","guid":{"rendered":"http:\/\/wixflytt.acconeer.com\/?p=383"},"modified":"2021-07-19T21:20:26","modified_gmt":"2021-07-19T19:20:26","slug":"research-on-surface-classification","status":"publish","type":"post","link":"https:\/\/acconeer.com\/sv\/news\/research-on-surface-classification\/","title":{"rendered":"Research on surface classification"},"content":{"rendered":"[vc_row type=&#8221;in_container&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; scene_position=&#8221;center&#8221; text_color=&#8221;dark&#8221; text_align=&#8221;left&#8221; row_border_radius=&#8221;none&#8221; row_border_radius_applies=&#8221;bg&#8221; overlay_strength=&#8221;0.3&#8243; gradient_direction=&#8221;left_to_right&#8221; shape_divider_position=&#8221;bottom&#8221; bg_image_animation=&#8221;none&#8221;][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_spacing=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][vc_custom_heading source=&#8221;post_title&#8221; font_container=&#8221;tag:h1|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221;][vc_column_text]\n<p id=\"viewer-foo\" class=\"XzvDs _208Ie _1atvN _2QAo- _25MYV _2WrB- _1atvN public-DraftStyleDefault-block-depth0 public-DraftStyleDefault-text-ltr\"><span class=\"vkIF2 public-DraftStyleDefault-ltr\">IEEE has published a conference paper on surface classification using radar by Acconeer researchers David Montgomery, Gaston Holm\u00e9n, Peter Almers and Andreas Jakobsson.<\/span><\/p>\n<div data-hook=\"rcv-block1\"><\/div>\n<div id=\"viewer-29mjf\" class=\"XzvDs _208Ie _1atvN _2QAo- _25MYV _2WrB- _1atvN public-DraftStyleDefault-block-depth0 public-DraftStyleDefault-text-ltr\"><span class=\"vkIF2 public-DraftStyleDefault-ltr\">\u00a0<\/span><\/div>\n<div data-hook=\"rcv-block2\"><\/div>\n<p id=\"viewer-915r3\" class=\"XzvDs _208Ie _1atvN _2QAo- _25MYV _2WrB- _1atvN public-DraftStyleDefault-block-depth0 public-DraftStyleDefault-text-ltr\"><span class=\"vkIF2 public-DraftStyleDefault-ltr\">Read the abstract below, or head over to the <a class=\"_2qJYG _2E8wo\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8904699\" target=\"_blank\" rel=\"noopener noreferrer\"><u class=\"sDZYg\">IEEE website<\/u><\/a> for the full article.<\/span><\/p>\n<div data-hook=\"rcv-block3\"><\/div>\n<div id=\"viewer-kicn\" class=\"XzvDs _208Ie _1atvN _2QAo- _25MYV _2WrB- _1atvN public-DraftStyleDefault-block-depth0 public-DraftStyleDefault-text-ltr\"><span class=\"vkIF2 public-DraftStyleDefault-ltr\">\u00a0<\/span><\/div>\n<div data-hook=\"rcv-block4\"><\/div>\n<p id=\"viewer-9dn16\" class=\"XzvDs _208Ie _1atvN _2QAo- _25MYV _2WrB- _1atvN public-DraftStyleDefault-block-depth0 public-DraftStyleDefault-text-ltr\"><span class=\"vkIF2 public-DraftStyleDefault-ltr\"><strong>Abstract:<\/strong><\/span><\/p>\n<div data-hook=\"rcv-block5\"><\/div>\n<p id=\"viewer-ak58u\" class=\"XzvDs _208Ie _1atvN _2QAo- _25MYV _2WrB- _1atvN public-DraftStyleDefault-block-depth0 public-DraftStyleDefault-text-ltr\"><span class=\"vkIF2 public-DraftStyleDefault-ltr\">Classification of surfaces using millimeter-wave radar commonly considers the use of polarization-based methods for road condition monitoring. When a surface consists of larger structures, one is instead often interested in monitoring the surface topography, which is typically not resolvable by the limited radar bandwidth. To alleviate this problem, we here consider several phase coherent radar measurements conducted during the motion of the radar, in order to capture not only the instantaneous depth measurement, but also the depth variation over time. Analysis of scattering from rough surfaces is highly complex and relies on prior knowledge of surface structure. By constructing a set of features based on a number of radar measurements over time, a machine learning classifier is proposed to distinguish grass target surfaces from asphalt, gravel, soil, and tiled surfaces. Six different classifier structures are evaluated and presented in the paper. Using estimated autocovariances and average envelope shapes as features, a small, fully connected, neural network classifier is, using a leave-one-out strategy, shown to allow for accurate determination of the surface type. The proposed classifier can be implemented with limited hardware requirements, making it suitable for autonomous devices, such as, e.g., autonomous lawn mowers.<\/span><\/p>\n[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>IEEE has published a conference paper on surface classification using radar by Acconeer researchers David Montgomery, Gaston Holm\u00e9n, Peter Almers and Andreas Jakobsson.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-383","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-news"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Research on surface classification - 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