Articles | Volume 8, issue 1
J. Sens. Sens. Syst., 8, 19–35, 2019
https://doi.org/10.5194/jsss-8-19-2019

Special issue: Sensors and Measurement Systems 2018

J. Sens. Sens. Syst., 8, 19–35, 2019
https://doi.org/10.5194/jsss-8-19-2019

Regular research article 10 Jan 2019

Regular research article | 10 Jan 2019

A validation sensor based on carbon-fiber-reinforced plastic for early activation of automotive occupant restraint systems

Gerald Joy Sequeira et al.

Related subject area

Applications: Automotive and mobility
Inline quality monitoring of diesel exhaust fluid (AdBlue) by using the 3ω method
Ralf E. Bernhardsgrütter, Christoph J. Hepp, Martin Jägle, Hans-Fridtjof Pernau, Katrin Schmitt, and Jürgen Wöllenstein
J. Sens. Sens. Syst., 10, 5–12, https://doi.org/10.5194/jsss-10-5-2021,https://doi.org/10.5194/jsss-10-5-2021, 2021
Short summary
A novel approach for road surface wetness detection with planar capacitive sensors
Jakob Döring, Lakshan Tharmakularajah, Jakob Happel, and Karl-Ludwig Krieger
J. Sens. Sens. Syst., 8, 57–66, https://doi.org/10.5194/jsss-8-57-2019,https://doi.org/10.5194/jsss-8-57-2019, 2019
Short summary
Quantitative, time-resolved detection of CH4 concentrations in flows for injection analysis in CNG engines using IR absorption
Stephan Bauke, Kai Golibrzuch, Frank Rotter, Hainer Wackerbarth, Olaf Thiele, and Thomas Berg
J. Sens. Sens. Syst., 6, 185–198, https://doi.org/10.5194/jsss-6-185-2017,https://doi.org/10.5194/jsss-6-185-2017, 2017
Short summary
Concept for completeness checking of joined structures exemplified on rail vehicle car body shells
Uwe Jurdeczka
J. Sens. Sens. Syst., 6, 53–63, https://doi.org/10.5194/jsss-6-53-2017,https://doi.org/10.5194/jsss-6-53-2017, 2017
Short summary
State determination of catalytic converters based on an ultra-wideband communication system
I. Motroniuk, R. Stöber, and G. Fischerauer
J. Sens. Sens. Syst., 4, 255–262, https://doi.org/10.5194/jsss-4-255-2015,https://doi.org/10.5194/jsss-4-255-2015, 2015
Short summary

Cited articles

Andres, M., Feil, P., Menzel, W., Bloecher, H., and Dickmann, J.: 3D Detection of Automobile Scattering Centers using UWB Radar Sensors at 24/77 GHz, IEEE Aero. El. Sys. Mag., 28, 20–25, https://doi.org/10.1109/MAES.2013.6495649, 2013. a
Brandmeier, T., Feser, M., Jacob, S., Paggel, J., Saulich, S., and Spannaus, P.: Vorrichtung zur Detektion der Charakteristik eines Aufpralls auf ein Kraftfahrzeug, available at: https://patents.google.com/patent/EP2279100A1/de (last access: 2 August 2018), 2008. a, b
Broßeit, P., Rapp, M., Appenrodt, N., and Dickmann, J.: Probabilistic Rectangular-Shape Estimation for Extended Object Tracking, in: 2016 IEEE Intelligent Vehicles Symposium (IV), 19–22 June 2016, 279–285, https://doi.org/10.1109/IVS.2016.7535398, 2016. a
Chan, C.-Y.: On the Detection of Vehicular Crashes – System Characteristics and Architecture, IEEE T. Veh. Technol., 51, 180–193, https://doi.org/10.1109/25.992078, 2002. a, b
Chitnis, K., Mody, M., Swami, P., Sivaraj, R., Ghone, C., Biju, M. G., Narayanan, B., Dutt, Y., and Dubey, A.: Enabling Functional Safety ASIL Compliance for Autonomous Driving Software Systems, Electronic Imaging, 2017, 35–40, https://doi.org/10.2352/ISSN.2470-1173.2017.19.AVM-017, 2017. a
Download
Short summary
Future vehicle safety systems based on forward-looking sensors require a very robust validation system. This study describes such a validation sensor system and an algorithm to trigger safety systems in a crash. The presented sensor concept can detect the first contact and estimate the position of impact and the overlap in the initial few milliseconds of crash. The results highlight the temporal advantage of such a sensor over the present systems.