In an underground or enclosed area with weak network signals, a time delay may occur when data is transferred from LiDARs to the computing system. In the Nanjing project, Autowise.ai engineers worked tirelessly to develop a solution that allowed the Autowise V12 to transmit data at lower network signals by creating new operational algorithms and adding new pinpoints in the HD map for vehicle identification. Based on the new algorithms and map upgrades, the autonomous sweepers showed \u00a0improved performances in areas of mapping and positioning. The algorithms helped to improve traffic detection, obstacle, and pedestrian recognition. The autonomous sweepers satisfied the tunnel sweeping requirements set out by the Nanjing Traffic Operation Management Group by covering a distance of 8,000km safely at a total of 1,600 operation hours in the tunnels.[\/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][\/vc_row][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” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” left_margin=”auto” constrain_group_2=”yes” right_margin=”auto” column_element_spacing=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” max_width_desktop=”1000px” column_position=”default” advanced_gradient_angle=”0″ gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” gradient_type=”default”][split_line_heading animation_type=”line-reveal-by-space” font_style=”h1″ text_color=”#1a1a1a” line_reveal_by_space_text_effect=”default” stagger_animation=”true” content_alignment=”default” mobile_content_alignment=”inherit” link_target=”_self” text_content=”Further Developments & Plans” font_size=”40px” font_size_tablet=”30px” font_size_phone=”28px”][\/split_line_heading][vc_column_text css_animation=”fadeInUp” max_width=”1000px”]Autowise.ai is commmited to developing and deploying more autonomous sweepers in coordination with Nanjing Traffic Operation Management Group on road around Nanjing.<\/p>\n
In addition, based on the success of the project , Autowise.ai are expanding their offerings to include retrofitting and R&D services for sweepers in Nanjing city.[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"
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