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Advanced ADAS sensor calibration

Handheld, in-motion tool for ADAS sensor calibration and verification

Description

An advanced, computer vision–based handheld solution for in-motion calibration and verification, designed to support a global automotive technology leader in reclaiming leadership in the Independent Aftermarket. The solution addresses the critical need for accurate calibration of radar, camera, and lidar systems in Independent Aftermarket workshops. By determining the user’s position relative to the vehicle’s coordinate system with a real-time, spatial mapping, it enables highly precise and significantly faster setup for calibration and verification procedures.

Industry
Automotive / Autonomous Driving
Company size
20 people
Market
Independent Aftermarket Workshops Worldwide
Engagement type
Project management, business development and innovation coaching
Duration
3 years
Key milestones
3 rounds of internal funding (SUM: 4.5 M €), product SoP is planned for end of 2026

The challenge

The current calibration methods, that take roughly 30-60 minutes/sensor will scale to days in the coming years as sensor numbers per vehicle explode and regulations demand full-field precision. Workshops are squeezed from all sides: too little space, too few skilled technicians, and automation tools that are both essential and unaffordable. This growing gap between what modern vehicles require and what workshops can realistically deliver makes scalable, affordable, and standardized calibration and verification automation not just beneficial, but inevitable.

The approach

To address these challenges, the team developed a set of innovative technological solutions, complemented by key business activities to ensure proper positioning of the product within the company’s portfolio.

  • Technology - Computer vision-based in-motion mapping: The solution enables precise localization of the handheld device by itself within the vehicle’s coordinate system. This allows for free and space-efficient movement around the vehicle during calibration and verification, effectively eliminating constraints related to space requirements and floor levelling.
  • Technology – UX as top prio, UI enhanced with Augmented Reality: A self-explanatory user interface with integrated AR guidance ensures intuitive operation, removing the need for extensive training or specialized expertise.
  • Business – internal stakeholder management: Given the cross–business unit nature of the project, complex stakeholder alignment was required to:
    • secure development resources from multiple business units
    • identify the optimal positioning of the product within the company portfolio
    • gain executive sponsorship and ensure top management support
    • establish and secure the financial foundation of the project
  • Business – external stakeholder/customer management: While the primary revenue potential lies in the independent aftermarket, long-term standardization requires engagement with OEMs as technology customers. To accelerate market adoption, strategic cooperation was established with a globally recognized automotive glass repair and replacement company

The result

The project delivered a breakthrough in both performance and business potential:

  • Strong customer interest:
    The majority of customer demonstrations resulted in a clear and immediate demand for market deployment.  
  • Robust and user-friendly solution:
    Extensive testing across diverse environmental conditions confirmed the solution’s reliability. Users consistently highlighted its ease of use, as well as the quality of both the hardware design and user interface.  
  • Attractive market potential:
    Even conservative estimates project annual revenues of €70–80 million with an EBIT margin of approximately 35% by 2030.  
  • Short payback period:
    A well-designed portfolio strategy, combined with a multi-wave go-to-market approach, results in a highly favourable return on investment.  
  • Strong IP positioning:
    Given the solution’s strategic value, the company has prioritized internal deployment to maximize competitive advantage, particularly in the autonomous driving domain.

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