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About

Gerald Holweg is a researcher specializing in sensor fusion, depth imaging, and environment perception systems, with a particular focus on the integration of radar and time-of-flight (ToF) technologies for automotive and robotic applications. His work addresses the growing demand for reliable, real-time spatial awareness in autonomous systems, industrial automation, and indoor navigation. Among his most notable contributions is the development of an open hardware and software platform for heterogeneous sensor fusion, introduced in his 2018 paper (15 citations), which provides the research community with a practical base for designing and evaluating fusion strategies. Building on this, his 2019 work on occupancy grid fusion (11 citations) demonstrated how processing sensor data at the lowest possible level preserves critical environmental information that would otherwise be lost in preprocessing pipelines. Holweg has also made significant strides in indoor positioning using ToF 3D imaging (10 citations) and mixed-criticality systems for autonomous driving safety (8 citations). His more recent research explores context-aware sensor adaptation, pushing toward intelligent, situationally responsive perception platforms. Collectively accumulating over 50 citations, his body of work reflects a consistent commitment to robust, safety-critical sensing architectures that bridge hardware design and intelligent software integration.