Summary
- Profile Type
- Technology request
- POD Reference
- TRFR20250320021
- Term of Validity
- 5 May 2025 - 5 May 2026
- Company's Country
- France
- Type of partnership
- Commercial agreement with technical assistance
- Research and development cooperation agreement
- Targeted Countries
- All countries
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General information
- Short Summary
- This French company designs and manufactures trucks, buses, and industrial vehicles, focusing on sustainable mobility. To improve truck design, it seeks a smart, automated clash detection solution to replace time-consuming manual checks and inefficient automated methods. The ideal partner should provide an AI or CAD-based system that optimizes processing time, minimizes errors, integrates seamlessly with 3D modeling tools, and offers user-friendly dashboards for better decision-making.
- Full Description
-
This French company specializes in the design, manufacturing, and commercialization of trucks, buses, construction equipment, and industrial power solutions. The company focuses on sustainable mobility, developing innovative technologies such as electric, hydrogen, and biofuel-powered vehicles to reduce environmental impact.
The design of a complete truck requires assembling multiple 3D models of components and systems to ensure geometrical compliance. This process is crucial to prevent design errors, optimize space utilization, and ensure seamless integration of all parts. However, the current approach to clash detection—identifying interferences, misplaced models, sensitive proximities, and inconsistencies in multiple 3D models—remains a significant challenge.
Today, two primary methods are used for clash detection, both of which present major drawbacks:
Method #1: Human Inspection
This approach relies on manual verification, where engineers and designers check for clashes and inconsistencies in 3D models. While effective to some extent, it comes with significant challenges:
• Time-consuming: Manually analyzing large assemblies takes considerable effort.
• Error-prone: Human mistakes can lead to costly design issues.
• Requires extensive training: Understanding packaging constraints and clash detection requires specialized knowledge.
• Tedious task: Engineers spend valuable time on a repetitive and monotonous activity.
Method #2: Automated Machine-Based Check
An alternative is to use software-based detection, but existing solutions are not efficient enough:
• High computational load: Running automated checks can be resource-intensive, slowing down design workflows.
• Limited detection capabilities: Some interferences are missed, requiring manual revalidation.
• Poor user experience: Lack of ergonomic dashboards and clear, structured results make analysis difficult.
The key challenge is to develop a smarter, automated solution to streamline clash detection, reducing manual effort while improving accuracy and efficiency. An ideal system should:
• Optimize processing time while maintaining precision.
• Reduce dependency on human validation to minimize errors.
• Provide clear, user-friendly dashboards for efficient decision-making.
• Integrate seamlessly with existing 3D modeling tools to enhance the truck design process.
By addressing these challenges, the company aims to improve design efficiency, reduce costs, and accelerate the development of next-generation trucks - Technical Specification or Expertise Sought
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The company is seeking a partner specialized in CAD tools and/or AI to address the challenge of developing a smarter, automated solution for clash detection. The ideal system should:
- Optimize processing time while ensuring high precision.
- Reduce reliance on human validation to minimize errors.
- Provide intuitive, user-friendly dashboards for efficient decision-making.
- Seamlessly integrate with existing 3D modeling tools to enhance the truck design process - Stage of Development
- Under development
- Sustainable Development Goals
- Goal 9: Industry, Innovation and Infrastructure
Partner Sought
- Expected Role of a Partner
-
The partner’s role would be to:
- Develop or adapt a technology (CAD and/or AI-based) to automate and optimize clash detection.
- Integrate the solution into existing design software for seamless use.
- Enhance detection performance while reducing computational load.
- Provide an intuitive interface with clear dashboards for analysis.
- Collaborate with design teams to refine algorithms based on truck design needs.
- Ensure maintenance and evolution of the solution to meet future challenges.
The goal is to turn a time-consuming task into a fast, reliable, and automated process, improving truck design efficiency.. - Type and Size of Partner
- SME 50 - 249
- SME <=10
- R&D Institution
- SME 11-49
- Big company
- University
- Type of partnership
- Commercial agreement with technical assistance
- Research and development cooperation agreement
Dissemination
- Technology keywords
- 01003007 - Computer Technology/Graphics, Meta Computing
- 01003012 - Imaging, Image Processing, Pattern Recognition
- 01003006 - Computer Software
- 01003003 - Artificial Intelligence (AI)
- Market keywords
- 09001005 - Motor vehicles, transportation equipment and parts
- 02002001 - CAD/CAM, CAE systems
- Targeted countries
- All countries