Time of Flight 3D Sensing & Imaging: detec­tors, readout circuits and data process­ing

David Stoppa
TU Graz
Infeldgasse 12EG
8010 Graz
Wednesday, 2018-11-28

On Nov. 28th David Stoppa from ams AG, Rüsch­likon, Swit­z­er­land, will give a talk at Campus Inffeld­gasse in Graz. This event is jointly orga­nized by the IEEE Austria CAS/​SSC Joint Chapter, TU Graz and SAL Silicon Austria Labs.

Time of Flight 3D Sensing and Imaging: detec­tors, readout circuits and data process­ing

In the past few years we have assisted to a tremen­dous increase of the number of appli­ca­tions requi­ring highly sophis­ti­cated elec­tronic systems capable of taking auto­no­mous deci­sions during the inter­ac­tion with complex envi­ron­ments and scena­rios.

Depth sensors repre­sent a funda­mental enab­ling tech­no­logy for such appli­ca­tions, allo­wing to recon­struct a complete 3D model of the surroun­ding envi­ron­ment, thus incre­a­sing the relia­bi­lity and robust­ness of auto­matic objects clas­si­fi­ca­tion.

Several depth-sensing tech­no­lo­gies are avail­able, and it is beco­ming more and more evident that the optimal solu­tion relies on a clever combi­na­tion and opti­miza­tion of multiple tech­ni­ques, through a careful opti­miza­tion at system level of a multi­tude of para­me­ters.

The main goal of this talk is to provide an in-depth over­view of state-of-the-art ToF detec­tors tech­no­lo­gies focu­sing on the main advan­tages and disad­van­tages of the two key compe­ting detector classes, i.e. photo-demo­du­la­tors or SPADs, and their natural imple­men­ta­tion in indi­rect-/​direct-ToF systems through key exam­ples from commer­cial and academic imple­men­ta­tions.