Abstract
A key objective of the EU Transport Policy is to reduce considerably (50 % and more in the future) casualties due to road accidents. Various programs have been established to investigate new sensor technologies and the resulting applications as basis for advanced driver assistance systems. The project ADOSE (Reliable Application Specific Detection of Road Users with Vehicle On-board Sensors, FP7 ICT 216049) addressed the enhancement of preventive and active safety functions through the development of high performance and low cost sensing technologies suitable for detection and classification of vulnerable road users under harsh environmental, weather and light conditions by combining and evaluating complementary technologies. Partners were Fiat CRF (co-ordinator), BOSCH, Magneti Marelli, ST Microelectronics, TRIAD, UMICORE, Paragon, IMEC, VTT, Fraunhofer IZM, Uppsala University and AIT Austrian Institute of Technology. The paper will shortly describe the ADOSE approach, the scenarios that were taken into account (and why), major results and provide some comments on the most unusual sensor validated, the SRS sensor from AIT.
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Sun Z, Bebis G, Miller R (2006) On-road vehicle detection: a review. IEEE Trans Pattern Anal Mach Intell 28(5):694–711
Kogler J, Sulzbachner C et al (2010) ADOSE—Bio-inspired in-vehicle sensor technology for active safety. In: Meyer G, Valldorf J (eds) Advanced microsystems for automotive applications 2010, Smart systems for green cars and safe mobility, Springer, Berlin
Herrmann I, Hattaß M et al (2011) Low-cost platform technology for LWIR sensor arrays for use in automotive night vision and other applications. In: Meyer G, Valldorf J, Advanced Microsystems for Automotive Applications, Springer, Berlin, pp 89–97
Lichtsteiner P, Posch C, Delbruck T (2008) A 128 × 128 120 dB 15 s latency asynchronous temporal contrast vision sensor. IEEE J Solid-State Circuits 43(2):566–576
Humenberger M, Zinner C, Weber M, Kubinger W, Vinze M (2010) A fast stereo matching algorithm suitable for embedded real-time systems. Comput Vision Image Underst J (Special Issue on Embedded Vision) 114(11):1080–1202
Acknowledgments
The research leading to these results has received funding from the EC Seventh Framework Program (FP7/2007–2013) under grant agreement ICT-216049 (ADOSE). The authors would like to thank all ADOSE participants working on the success of the project. Partners were Fiat CRF (co-ordinator, Italy), BOSCH (Germany), Magneti Marelli (Italy), ST Microelectronics (Italy), TRIAD (Norway), UMICORE (Belgium), Paragon (Greece), IMEC (Belgium), VTT (Finland), Fraunhofer IZM (Germany), Uppsala University (Sweden) and AIT Austrian Institute of Technology.
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Schoitsch, E., Sulzbachner, C., Kogler, J. (2013). Enhanced Low-Cost Sensing Technologies for Vehicle On-Board Safety Applications (ADOSE Project). In: Fischer-Wolfarth, J., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2013. Lecture Notes in Mobility. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00476-1_11
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DOI: https://doi.org/10.1007/978-3-319-00476-1_11
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