{"id":762,"date":"2020-01-27T21:08:00","date_gmt":"2020-01-27T21:08:00","guid":{"rendered":"https:\/\/expleo.com\/?post_type=insight&p=5832"},"modified":"2023-08-29T15:27:03","modified_gmt":"2023-08-29T15:27:03","slug":"autonomous-vehicles-expleo-partnered-with-irt-systemx-to-evaluate-and-improve-the-performance-of-ai-decision-making-systems","status":"publish","type":"insights","link":"https:\/\/expleo.com\/global\/en\/insights\/news\/autonomous-vehicles-expleo-partnered-with-irt-systemx-to-evaluate-and-improve-the-performance-of-ai-decision-making-systems\/","title":{"rendered":"Autonomous Vehicles: Expleo partnered with IRT SystemX to evaluate and improve the performance of AI decision-making systems"},"content":{"rendered":"\t\t
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Paris, 27 January 2020.<\/strong>\u00a0Expleo,\u00a0the technology partner for innovative companies,\u00a0announces\u00a0its participation, alongside Apsys, PSA Group and Naval Group, in the EPI research project (AI-based\u00a0Decision Making\u00a0Systems\u2019 Performance Evaluation), led by IRT1<\/sup>\u00a0SystemX, an\u00a0accelerator for the digital transformation of industry, services and\u00a0territories. Launched in 2018 for a\u00a0three-year\u00a0period,\u00a0this project aims to develop a\u00a0methodology for the validation of decision-making systems with embedded\u00a0Machine Learning<\/em>\u00a0in the field of autonomous\u00a0vehicles\u00a0and maritime transport.<\/p>

The EPI project\u00a0particularly\u00a0focuses\u00a0on\u00a0developing\u00a0the autonomous vehicle. One of the main technological obstacles to overcome lies in the performance evaluation and\u00a0optimisation\u00a0of embedded Artificial Intelligence\u00a0(AI)\u00a0used in decision-making.\u00a0<\/p>

Although intelligent solutions\u00a0already exist\u00a0for obstacle detection and avoidance\u00a0(optical cameras, radar, sonar and lidar technology, etc.), the ability of an autonomous vehicle to\u00a0adopt\u00a0a safe and consistent behavior, via\u00a0artificial\u00a0neural network systems, remains to be proven.<\/p>

A vehicle\u2019s perception and interpretation of its\u00a0environment could be hampered by unforeseen events (exceptional weather conditions, malfunction of the vehicle\u2019s optical sensors, etc.),\u00a0that\u00a0could lead to errors in assessment and decision-making (inability to detect traffic signs or a pedestrian crossing in front of the vehicle, etc.). Research carried out under the EPI project aims to\u00a0optimise\u00a0the stability and robustness of the AI \u200b\u200bsystem\u00a0guaranteeing\u00a0the quality of\u00a0its\u00a0decision-making.\u00a0<\/p>

In partnership with\u00a0SystemX, Expleo\u00a0created\u00a0a report on\u00a0different existing\u00a0AI evaluation techniques.\u00a0Expleo is also involved in developing new techniques for assessing AI robustness. The company\u00a0participated in improving the robustness of\u00a0artificial\u00a0neural networks by introducing 3D\u00a0disturbances\u00a0(vibrations, camera movements, etc.) into the input data.\u00a0<\/p>

Dimitri Bettebghor, Chief Data Scientist at Expleo explains,<\/strong><\/p>

\u201cWith the EPI project, the industry is exploring the potential of AI, a key issue for the future of mobility. The question of an autonomous decision-making function confronts us with real challenges in terms of the validation and certification of critical systems. This is why collaborative and multi-disciplinary research is the most adequate model for advancing within an area of this scope. Expleo is very proud to participate, alongside IRT SystemX and all of its industrial partners, in this cutting-edge technological research project.\u202f\u201d<\/em><\/p>

The EPI project also focuses on estimating the level of machine learning. By applying an empirical learning method, an AI-based decision-making system proceeds by systematically comparing what it \u201csees\u201d with what it has already seen or knows. In the current state of technology, the performance of these algorithms is based on their exposure to a wide variety of driving and environmental scenarios, the proper number and distribution of which must be precisely assessed.\u00a0\u00a0<\/p>

If the EPI project aims to achieve two\u00a0Proofs of Concept<\/em>\u00a0in the automobile and maritime sectors, its scope could extend to many others (the military, medicine, aeronautics, etc.). By working on the development of AI-specific standards, this project could lead to the certification of critical AI-based systems in France.\u00a0<\/p>

Media\u00a0contacts<\/strong>\u00a0<\/p>

Expleo\u00a0<\/strong>\u00a0
Valentine\u00a0Piedelievre-Eman\u00a0
valentine.eman@expleogroup.com\u00a0
<\/a>+33 (0)6 07 27 68 55\u00a0\u00a0<\/p>

L\u2019\u00e9t\u00e9 en hiver<\/strong>\u00a0\u00a0
Morgane Gens\u00a0\u00a0
morgane.gens@eteenhiver.com<\/a>\u00a0\u00a0\u00a0
+33 (0)6 88 63 34 30\u00a0\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Paris, 27 January 2020. Expleo, the technology partner for innovative companies, announces its participation, alongside Apsys, PSA Group and Naval Group, in the EPI research project (AI-based Decision Making Systems\u2019 Performance Evaluation), led by IRT1 SystemX, an accelerator for the digital transformation of industry, services and territories. Launched in 2018 for a three-year period, this project aims to develop a methodology for the validation of decision-making systems with […]<\/p>\n","protected":false},"author":9,"featured_media":0,"parent":0,"template":"","meta":{"_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"","_angie_page":false,"footnotes":""},"topic":[149,147,153,150],"insights-single-templates":[316],"industry-taxonomy":[33],"content-type":[22],"country":[117],"service":[35,211],"class_list":["post-762","insights","type-insights","status-publish","hentry","topic-engineering-design","topic-innovation-and-r-and-d","topic-iot","topic-mobility","insights-single-templates-old-template","industry-taxonomy-automotive","content-type-news","country-germany","service-autonomous-control-adas","service-innovation-management-solutions"],"yoast_head":"\nExpleo & IRT SystemX partner to enhance AI in vehicles<\/title>\n<meta name=\"description\" content=\"Expleo, the technology partner for innovative 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