NextPerception

grant

smart sensors; distributed intelligence; health; wellbeing; automotive

This project aims to bring perception sensor technologies to the next level, enhancing their features to allow for more accurate detection of human behaviour and physiological parameters. Ranging technologies like Radar, LiDAR and Time of Flight cameras have been applied for detecting objects and assist in navigation in recently developed ADAS solutions. The next generation of these perception sensors will be able to successfully detect humans and accurately monitor their behaviour and physiological parameters. Besides more accurate automotive solutions ensuring driver vigilance and pedestrian and cyclist safety, this innovation will open up new opportunities in health and wellbeing to monitor elderly people at home or unobtrusively assess health state.

Hubálek Jaromír, prof. Ing., Ph.D. (UMEL) – research leader
Arm Jakub, doc. Ing., Ph.D. (UAMT)
Baštán Ondřej, Ing. (UAMT)
Chlíbková Daniela, Mgr., Ph.D. (PVO)
Juránek Roman, Ing., Ph.D. (DCGM)
Kolář Martin, M.Sc., Ph.D. et Ph.D.
Kolařík Martin, Ing. (UTKO)
Kolářová Jana, doc. Ing., Ph.D. (UBMI)
Králík Martin, Ing. (UBMI)
Myška Vojtěch, Ing., Ph.D. (UTKO)
Němcová Andrea, Ing., Ph.D. (UBMI)
Smíšek Radovan, Ing., Ph.D. (UBMI)
Smital Lukáš, Ing., Ph.D. (UBMI)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)