Automatic Mapping and Localization
Nowadays, smart homes and offices are equipped with a wide range of smart sensors, smart-lights and smart-equipment that either use IEEE802.15.4 or BLE radio to exchange information with one another or with the cloud. In many use-cases and in more dense deployment scenarios, multiple devices are co-located in the same room, making it difficult to locate a specific device in that room or even in the building as a whole.
During commissioning and maintenance activities, the commission agent would hence greatly benefit from the ability to see the location of these devices on his smart tablet or hand-held. For example, upon entering a room with 10 smart lights, it would be helpful to know the precise position of those 10 lights in relation to his current location. In such a scenario, the ranging and localization solution should be low-power, accurate, scalable and real-time.
In this project, the student will work with IMEC (BLE or 802.15.4) radios, which are able to measure relative distance. Building on that technology, the student needs to develop an automatic mapping/localization solution that collects the distance measurements from all devices in a given room, besides mapping the relative location of a person inside that room. The ranging and localization solution should be low-power, accurate, scalable and real-time.
- Affinity with a hands-on approach.
- Motivated and able to work independently.
- Eager to learn and to succeed in the field.
- Prior experience with embedded programming (C/C++) and Python.
- Proficient in spoken and written English.
For all inquiries, please contact:
Ms Najat Loiazizi, HR specialist.
Telephone number: +31 (0)40 40 20 675