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TECHNOLOGY TRENDS






                           Shrinking RADAR and LiDAR sensor


                           packages – an introduction to TINKER


                           By Leo Schranzhofer [PROFACTOR], Martin Eibelhuber [EV Group],  Martina Chopart  [AMIRES]

        A         utonomous driving and self-                                 following two main objectives. The first



                                                                              objective is to establish a platform based
                  driving cars are prominent use
                  cases for microelectronics and
                                                                              objective is to fabricate RADAR and LiDAR
                  sensors—most importantly,                                   on additive manufacturing. The second
        radio detection and ranging (RADAR)                                   sensor packages as use cases. TINKER’s
        and light detection and ranging (LiDAR)                               approach is to use key enabling technologies,
        sensors (Figure 1). The RADAR and                                     especially inkjet printing and nanoimprint
        LiDAR markets have enormous potential,                                lithography (NIL), as disruptive and flexible
        with the market size of LiDAR sensors                                 manufacturing techniques in micro-part
        in automotive and industrial applications   Figure 1: Autonomous cars are prominent use   assembling. The proposed TINKER pilot
        estimated to reach 26% compound annual   cases for RADAR and LiDAR sensors.  line will offer a high degree of flexibility
        growth rate (CAGR) in the 2020-2026                                   and reliability due to its modular character.
        period. The market segment of advanced   ADAS as well as for autonomous cars.   Additional key components are inline
        driver-assistance systems (ADAS) is   Current bottlenecks are the relatively   feedback control mechanisms, which will
        expecting an even more impressive growth   large size, weight and power consumption   be directly integrated. Figure 2 shows the
        of 111% [1].                       of such sensor devices. Because these   basic concept and components of TINKER.
          Public awareness and the industrial   factors are highly limited within cars,   Starting from bare dies for LiDAR and
        need for further miniaturization of   further miniaturization and improving   RADAR chips, pick-and-place processes
        RADAR and LiDAR sensor packages    functionality and efficient use of resources   and inline inspection for feedback control
        are the main drivers of ongoing efforts in   are highly demanded.     will be complemented by functional inkjet
        the automotive sector to integrate these   For a duration of three years beginning   printing and nanoimprinting to fabricate
        sensors into the body of a vehicle, such as   on October 1, 2020, the European Union’s   sensor packages for the RADAR and
        in the bumpers, grilles and exterior lamps,   Horizon 2020 funded TINKER project   LiDAR use cases.
        instead of attaching them to the exterior   [official project name is “Fabrication of   The TINKER project aims to decrease
        of cars. Safety for both the driver and   Sensor Packages Enabled by Additive   production time, measurably increase
        others is the most important consideration   Manufacturing”] is set to develop a new   automation level, achieve a higher or
        in the automotive sector. Therefore, high-  reliable, accurate, functional, cost- and   similar precision level as compared to
        value and high-performance RADAR   resource-efficient pathway for RADAR   the state of the art in manufacturing of
        and LiDAR systems are required for   and LiDAR sensor package fabrication,   these device types, and reduce rejection

























        Figure 2: The TINKER platform provides new additive manufacturing concepts in a pilot line for use cases such as RADAR and LiDAR sensors.

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