LIDAR FOR SELF-DRIVING CARS

For whom
Students, Employees, Alumni, Press, Business
When
01-02-2019 from 12:30 to 14:00
Where
iGent, Technologiepark Zwijnaarde 15, 9052
Language
English
Organizer
Kamal Kaur
Contact
kamalpreet.kaur@ugent.be
Website
https://webappsx.ugent.be/eventManager/events/seminardirk
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Program:

12:30  –  13:00  Sandwich Lunch in Foyer 1.1 on first floor of iGent Tower

13:00  –  13:05  Introduction by Roel Baets

13:05  –  13:55  Seminar by Dirk Van Dyck (iGent AUD)

13:50 – 14:05    Discussion

 

Speaker bio-sketch:

Dirk Van Dyck is Emeritus Professor of Physics at UA where he taught courses in Physics, Mathematics, Computer Science, Business Engineering and Biomedical Sciences. Dirk Van Dyck is honorary Vice-rector for research and innovation of the university of Antwerp and presently Deputy Chair of the advisory board for the Flemish government for innovation and entrepreneurship (VARIO). He is also board member of the Royal Academy of Science and Art.

In 1991 he founded Vision Lab, which specialises in digital image processing and pattern recognition. He is co-founder of six spin-offs, including Skyscan (now Bruker MicroCT, 35 employees) and XenomatiX (20 employees) and holds more than 15 patents. He has authored more than 300 international publications, is co-author of 15 scientific books and co-editor of the Handbook of Microscopy and the Handbook of Nanoscopy.

 

Abstract:

In 2007 the American company Velodyne wins the DARPA Urban challenge with a new sensor based on a spinning head of 64 Lasers and detectors that could measure the distance around a car over 1 million measurements per second up to 150 meter with high angular resolution. Because this sensor could form the basis to control autonomous (drive-less) cars of the future it created a real hype in the automotive market. But it was soon realized that the holy grail should be a compact and cheap solid state sensor. Since then many other companies followed with new promising ideas and the market easily followed with investments. But many of these ideas were unrealistic and failed. We will discuss the main methods that are still in competition and we will analyse systematically based on the underlying physics.