Innovation Maps: 100 Sensor Ideas for Self-Driving Car

2024年4月15日

Innovation Maps: 100 Sensor Ideas for Self-Driving Car

Also this time, it is a map based on ideas generated by ChatGPT.

We were trying to generate ideas for information devices and applications for within self-driving cars, but ChatGPT went out of control, and kept coming up with ideas that were far removed from the needs of vehicles, such as growing plants and building robots in the car. So, we rejected all.

Next, we asked about proposed improvements to autonomous driving technology, but we only received summarised answers, so we narrowed the questions to sensor technology. We outputted up to 249 ideas, but after we created the map, we found that the exact same idea appeared about 3 times, and the number of ideas that were actually unique was about 80.

This time, we distribute the map project file without additional features for free. Please download from here. It can be explorered with free viewer(Viscovery SOMine Visual Explorer)

Maps with additional features can be created if requested.

Self-Driving Sensors

Written by:

Kunihiro TADA

Tech Bricoleur: Tada, founder of Mindware Research Institute, has been involved in Cocept Creation from Data since long before Data Science became a discipline. His thinking is not tamed by any discipline, and the method is therefore reminiscent of the "bricolage" that Lévi-Strauss wrote about in The Savage Mind. He started his career in 1982 at a science and engineering publishing house, organising seminars for companies on advanced technology development. In 1985, he moved to a major Japanese consulting firm, where he worked as a researcher on business opportunities in the field of advanced technology. The seminars he organised covered a wide range of topics of technologies which are basic of technologies still widely used worldwide today. such as, LAN-to-LAN connectivity, millimetre wave band communications, E-mail protocall, IC cards which are still widely used worldwide today. At the AI Chip Seminar in 1986, he introduced the first fuzzy inference chip and other AI processors developed at the time, sparking the fuzzy boom that spread the following year in the Japanese consumer electronics industry and elsewhere. In the 1990s, in contrast to the 1980s, when Japanese technology swept the world, from the 1990s Japan entered a prolonged period of stagnation. The earnest and cautious nature of the Japanese seems to greatly limit their behaviour in situations of uncertainty. In 1998, in a management magazine, Tada explained the need to investigate concepts as well as facts. Since 2000 he has been evangelising the SOM approach to information analysis together with Viscovery (then Eudaptics).

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