Latest revision as of 02:14, 2 February 2021

Abstract

Spatial sensor systems in cars are gaining more and more importance. Such sensor systems are the foundation of future safety systems, such as automatic emergency brakes, as well as for interactive driver assistance systems. We have developed a system that can visualize such spatial sensor data. Two environments are supported: a laboratory setup for off-line experience and a car setup that enables live experience of spatially aligned laser scanner and video data in real traffic. We have used two visualization devices, a video see-through LCD flat panel (TFT) and an optical see-through head-mounted display (HMD) in both setups. For the laboratory setup, a back-projection table has been integrated as well. To present data in correct spatial alignment, we have installed tracking systems in both environments. Visualization schemes for spatial sensor data and for geometric models that outline recognized objects have been developed. We report on our system and discuss experiences from the development and realization phases. The system is not intended to be used as a component of real driver assistance systems. Rather, it can bridge the gap between human machine interface (HMI) designers and sensing engineers during the development phase. Furthermore, it can be both a debugging tool for the realization of environmental perception systems and an experimental platform for the design of presentation schemes for upcoming driver assistance systems.

Original document

The different versions of the original document can be found in:

• http://wwwnavab.in.tum.de/pub/toennis2007ismarSensorVis/toennis2007ismarSensorVis.pdf

• http://xplorestaging.ieee.org/ielx5/4509974/4538818/04538835.pdf?arnumber=4538835,

http://dx.doi.org/10.1109/ismar.2007.4538835

• http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004538835,

https://dblp.uni-trier.de/db/conf/ismar/ismar2007.html#TonnisLWK07,

https://dl.acm.org/citation.cfm?id=1514347,

https://ieeexplore.ieee.org/document/4538835,

https://academic.microsoft.com/#/detail/2150864812