|Sensor Fusion Techniques for Glass Detection and Recognition
|LSCM R&D Centre (LSCM)
|According to the Hong Kong Smart City Blueprint 2.0 released by HKSAR Government in
2020, robotics has been heavily involved and one of the very important factors for Smart
City. Nowadays, robot navigation mainly replies on vision and/or laser technologies, both
of them are not good enough to detect glass and mirrors because the light is directed to
unwanted directions. This makes it difficult to deploy robots in glassy places like
shopping malls etc. Instead, milli-meter wave (mm-wave) radars emit and receive
electromagnetic wave and calculate the spatial information using signals' time-of-flight.
Glass and mirrors are good electromagnetic wave reflectors, thus mm-wave radars can
provide a reliable glass detection and aid the robot navigation.
In this project, we will research on sensor fusion and related artificial intelligence
technologies for robot navigation applications in glassy environments. Fusing other
sensors with mm-wave radar, the reliability of the robots can be greatly improved. This is
an essential and important step to robot deployment for a Smart Hong Kong.
|Dr Ka Lun FAN
|Approved Funding Amount:
|1 Dec 2022 - 31 May 2024