The\u00a0development of autonomous products from Autowise.ai have gone through four stages: passenger cars, commercial vehicles, autonomous sweepers V3 and Roboard-X. Those reliable products have complete delivery experience in\u00a0each stage, with the closed-loop productization capability\u00a0from equipment selection, adaptation, autonomous driving system development to assembly, debugging and verification.[\/vc_column_text][image_with_animation image_url=”4497″ image_size=”medium_large” animation_type=”entrance” animation=”Fade In” hover_animation=”none” alignment=”center” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default” margin_bottom=”20px”][vc_column_text css_animation=”fadeInUp”]\n
Autowise.ai autonomous vehicle evolution path<\/em><\/p>\n[\/vc_column_text][vc_column_text css_animation=”fadeInUp” max_width=”1000px”]The perception equipment of the first-generation passenger car was\u00a0relatively single, with lower\u00a0computility. The second-generation of commercial vehicle perception equipment coverage was significantly improved.\u00a0The computility and electrical system were\u00a0gradually upgraded to Automotive Grade, and the equipment tended\u00a0to be stable.\u00a0The whole vehicle and system of the third-generation autonomous sweeper V3 were independently developed by Autowise.ai. V3\u00a0has a strong sense of science and technology, a perception of 360\u00b0coverage. The drive-by-wire\u00a0was Automotive Grade and the system was reliable and highly responsive. The computing\u00a0module switched\u00a0into SOC, with effective\u00a0heat dissipation and stability.[\/vc_column_text][image_with_animation image_url=”4331″ image_size=”medium_large” animation_type=”entrance” animation=”Fade In” hover_animation=”none” alignment=”center” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default” margin_bottom=”20px”][vc_column_text css_animation=”fadeInUp”]\n Autowise V3<\/em><\/p>\n[\/vc_column_text][vc_column_text css_animation=”fadeInUp” max_width=”1000px”]After the exploration, productization and commercial iteration of the previous three generations, the fourth-generation of self-developed AW Roboard-X not only realizes the complete separation of Roboard and upper X, but also upgrades the\u00a0software and hardware technologies, such as perception equipment, wire control system and computing module. In terms of perception, the reliability and accuracy of obstacle detection are significantly improved through the fusion of traditional algorithm and deep learning algorithm, especially the fusion of LiDAR, camera and millimeter wave radars\u00a0in BEV perspective. Meanwhile, the data augmentation method based on multi-view\u00a0consistency (published in CVPR2022) and semi-supervised training framework (published in ECCV2022) can significantly reduce the dependence on the amount of labeled data while ensuring the same accuracy, thus helping the continuous improvement of perception performance with lower R&D cost.\u00a0For\u00a0the vehicle, Automotive Grade EHB and SBW\u00a0are used for high response accuracy.\u00a0The whole system adopts Dual Redundant, which makes the system stable and reliable. The packaging interface is open and modular, which can realize quick loading. The computing module switch\u00a0to Automotive Grade SoC, dual-Orin, with AI performance\u00a0over\u00a0600TOPs, redundant and stable.[\/vc_column_text][image_with_animation image_url=”4500″ image_size=”medium_large” animation_type=”entrance” animation=”Fade In” hover_animation=”none” alignment=”center” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default” margin_bottom=”20px”][vc_column_text css_animation=”fadeInUp”]\n The\u00a0perception\u00a0scheme and coverage of\u00a0AW Roboard-X, 360\u00b0 full coverage of\u00a0surroundings\u00a0<\/em><\/p>\n[\/vc_column_text][vc_column_text css_animation=”fadeInUp” max_width=”1000px”]At present, AW Roboard-X of Autowise.ai has realized\u00a0the X of passenger vehicle\u00a0(AW Roboard-Space), logistics vehicle\u00a0(AW Roboard-Van) and sweeper (AW Roboard-Sweeper), with a cab-less design. The three autonomous models of passenger\u00a0vehicle, logistics vehicle\u00a0and sweeper have been implemented for mass production, which is\u00a0practical\u00a0and technological. Roboard-X\u00a0can meet the requirements\u00a0of different scenarios\u00a0in terms of hardware and software architecture design.[\/vc_column_text][image_with_animation image_url=”4509″ image_size=”medium_large” animation_type=”entrance” animation=”Fade In” hover_animation=”none” alignment=”center” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default” margin_bottom=”20px”][vc_column_text css_animation=”fadeInUp”]\n A<\/i><\/em>W<\/i><\/em>\u00a0R<\/i><\/em>obo<\/i><\/em>ard-Space<\/i><\/em><\/p>\n[\/vc_column_text][image_with_animation image_url=”4503″ image_size=”medium_large” animation_type=”entrance” animation=”Fade In” hover_animation=”none” alignment=”center” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default” margin_bottom=”20px”][vc_column_text css_animation=”fadeInUp”]\n A<\/em>W R<\/i><\/em>oboard<\/i><\/em>-V<\/i><\/em>an<\/i><\/em><\/p>\n[\/vc_column_text][image_with_animation image_url=”4506″ image_size=”medium_large” animation_type=”entrance” animation=”Fade In” hover_animation=”none” alignment=”center” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default” margin_bottom=”20px”][vc_column_text css_animation=”fadeInUp”]\n AW Robo<\/i><\/em>ard-S<\/i><\/em>weeper<\/i><\/em><\/p>\n[\/vc_column_text][image_with_animation image_size=”full” animation_type=”entrance” animation=”Fade In” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text css_animation=”fadeInUp” max_width=”1000px”]Yanye Tang, Vice President of Product and Operation, said: “The\u00a0Roboard and X is developed separately. Roboard adopts a platform model, the motor, battery and thermal management system are modularized. The upper X can be subsequently iterated independently, thus the development cycle and efficiency will be greatly improved. The application of Roboard-X can realize the cost reduction of both user side\u00a0and R&D.”<\/p>\n Mario Pepe, Head of Sales in EMEA region, said: “Roboard-X fits perfectly with all my imagination for the future autonomous smart space. Its leadership is not only reflected in the diversity and convenience of model\u00a0development, but the platform\u00a0and modularity\u00a0of the manufacturing and supply chain\u00a0will also enable\u00a0autonomous\u00a0driving vehicle to step into\u00a0a new era of mass production.\u00a0Roboard-X\u00a0truly breaks the product boundary of autonomous\u00a0driving.”<\/p>\n With the release of the self-developed AW Roboard-X, Autowise.ai will continue to further broaden the application scenarios of autonomous vehicles with its strong technology\u00a0strength and\u00a0the rich experience of commercialization. Autowise.ai will\u00a0continue to promote the commercialization of autonomous driving.[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":" [vc_row type=”full_width_content” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”80px” left_padding_desktop=”15%” constrain_group_2=”yes” right_padding_desktop=”15%” top_padding_tablet=”60px” left_padding_tablet=”5%” constrain_group_4=”yes” right_padding_tablet=”5%” top_padding_phone=”30px” left_padding_phone=”20px” constrain_group_6=”yes” right_padding_phone=”20px” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” advanced_gradient_angle=”0″ overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”…<\/p>\n","protected":false},"author":2,"featured_media":4486,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":{"0":"post-4519","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-news"},"_links":{"self":[{"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/posts\/4519","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/comments?post=4519"}],"version-history":[{"count":3,"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/posts\/4519\/revisions"}],"predecessor-version":[{"id":4527,"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/posts\/4519\/revisions\/4527"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/media\/4486"}],"wp:attachment":[{"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/media?parent=4519"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/categories?post=4519"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/autowise.ai\/en\/wp-json\/wp\/v2\/tags?post=4519"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}