JULY - SEPTEMBER 2023AUTOTECHOUTLOOK.COM8IN MY OPINIONCURRENT CHALLENGES IN AUTOMOTIVE PRODUCT DEVELOPMENT AND MANUFACTURING EQUIRE EFFICIENT AND HOLISTIC PRODUCT SAFETYBy Rafal Dorociak, Director, Global Head of Platform Body Control, HELLAT he future is now: the digital transformation enables new possibilities for Automotive, which not long ago sounded more like a very distant future or even science fiction. Examples are solutions for Autonomous Driving (esp. Highly Automated Driving) and increased usage of Artificial Intelligence such as Deep Learning to extend algorithm capabilities further.The Automotive Industry has recognized this potential, and we are currently witnessing more and more investments into the abovementioned fields: new organization units and teams get formed, there are investments in startups and, last but not least, strategic cooperations and partnerships are formed between different players. This holds true both for Development as well as Manufacturing.One major topic for the Development of Automotive Products is the transformation towards Autonomous Driving. The main topics in progress today and in future, to only name a few, are: 1) use of Artificial Intelligence (AI) to provide new algorithms or extend/improve existing ones, 2) high precision in positioning and localization in navigation (GPS, GNSS etc. combined with HD maps) with the goal to navigate without human input, 3) Data Fusion by combining different technologies such as Lidar, Radar and Camera to increase the confidence in environment perception, 4) Transition to Fail Operational systems which maintain a limited functionality even in case of failure.Similarly, also Automotive Manufacturing undergoes transformations and changes. This is especially well summarized using terms such as Industry 4.0, Industrial Internet of Things, Smart Factory etc. The main idea here is to have everything connected and communicating with each other. Each process and machine deliver data using sensors Rafal Dorociak
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