CUP – E93C22001070001
\nFONDO NEXT GENERATION EU
\nM4C2I1.4<\/p>\n
MOST – SPOKE 6, Theme B – Vehicle Platforms, Topic B.4 – Design and development of support systems (sensors, actuators, ECUs, communication systems, etc.) for the development of autonomous industrial vehicles (e.g., forklifts)[\/vc_column_text][image_with_animation image_url=”1546″ image_size=”full” animation_type=”entrance” animation=”Fade In” animation_easing=”default” animation_movement_type=”transform_y” hover_animation=”none” alignment=”center” border_radius=”none” box_shadow=”small_depth” image_loading=”default” max_width=”75%” max_width_mobile=”default”][divider line_type=”No Line” custom_height=”30″][vc_column_text css=”” text_direction=”default”]\n
E.S.T.E. is among the winners of the cascade funding call \u2018Sustainable Mobility Center\u2019, published by UNIMORE with the Decree of the Director General Rep. No. 200\/2024 \u2013 Prot. No. 123487 dated 17\/05\/2024, as SPOKE 6 of the National Center for Sustainable Mobility (MOST).<\/strong> SPOKE 6 | Development of autonomous and connected driving systems aimed at reducing road accidents and improving the safety of road users. The project is funded under the National Recovery and Resilience Plan (NRRP \u2013 Mission 4, Component 2, Investment 1.4) by the European Union through the Next Generation EU program, with the aim of promoting and revitalizing the country\u2019s technological and digital transformation.[\/vc_column_text][divider line_type=”No Line” custom_height=”20″][\/vc_column_inner][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/12″ tablet_width_inherit=”default” 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overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”5\/6″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_custom_heading text=”Abstract” font_container=”tag:h1|text_align:left|color:%2301a0ac” google_fonts=”font_family:Raleway%3A100%2C200%2C300%2Cregular%2C500%2C600%2C700%2C800%2C900|font_style:800%20bold%20regular%3A800%3Anormal” css=”” el_class=”before_pointer”][\/vc_column_inner][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” 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animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]Autonomous vehicles use sensor systems for environmental perception, whose safety is evaluated according to functional safety standards and SOTIF (Safety of the Intended Functionality). However, there is no certified method to ensure that the reconstructed image or space rendered by the sensor is reliable. High levels of safety, availability, and trustability are typically achieved through sensor redundancy and diversity. While this approach is sustainable in the automotive sector, it is not viable in industrial applications, where the cost is prohibitive and limits the automation of forklifts, carts, and similar vehicles. 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\nThe project was approved for funding by the Decree of the Director General Rep. No. 568\/2024 \u2013 Prot. No. 317740 dated 20\/11\/2024.<\/p>\n
\nA crucial aspect is the training of personnel responsible for managing and maintaining autonomous driving systems, using advanced technologies such as artificial intelligence and virtual reality.
\nUNIMORE looks to the future as a \u201cresearch university\u201d capable of developing new knowledge, fostering in its students a culture of personal growth, discovery, creativity, and innovation, and opening up to the European context through an increasing presence in educational and research networks.<\/p>\n
\nThis project addresses this challenge, with the goal of designing and prototyping a system based on multiple MIMO radar sensors capable of verifying and ensuring the proper functioning of each individual antenna within the antenna array. The key innovative objective is to cover diagnostic aspects not addressed by either functional safety standards or SOTIF.
\nThe proposed integrity checks integrate functionality, traditional functional safety, and SOTIF principles, along with functional diagnostics of the antennas through data analysis from multiple correlated antennas using Machine Learning. 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