Abstract
The steadily increasing complexity of cooperative Advanced Driver Assistance Systems (ADASs) requires efficient development and prototyping strategies for new ADAS applications. In this paper the prototyping road side unit (RSU) PROTECT1 from Chemnitz University of Technology is presented as a generic intelligent transportation system (ITS) with a variety of sensors, computing units, and different human–machine interfaces (HMIs) in order to allow the fast implementation and evaluation of new ADASs and safety applications for vulnerable road users (VRUs). It is an integral part of the rapid prototyping framework for ADAS applications of the Professorship for Communications Engineering—which furthermore consists of two multisensory equipped vehicles CARAI 1/2 and the modular software prototyping framework BASELABS Suite.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Schubert R, Richter E, Mattern N, Lindner P, Wanielik G (2010) Advanced microsystems for automotive applications: smart systems for green cars and safe mobility. In: Meyer G, Valldorf J (eds). Springer, Berlin
BASELABS GmbH (2012) ADAS rapid prototyping and data handling. Website http://www.baselabs.eu. Last visit 30 Jan 2013
Obst M, Bauer S, Wanielik G (2001) Urban multipath detection and mitigation with dynamic 3D maps for reliable land vehicle localization. In: Proceedings of the IEEE/ION PLANS., Myrtle Beach, South Carolina
Obst M, Mattern N, Schubert R, Wanielik G (2012) Car-to-Car communication for accurate vehicle localization—the CoVeL approach. In: Proceedings of the 9th international multi-conference on systems, signals and devices, 2012, Chemnitz, Germany
Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition, vol II
Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition, vol 1, p 511
Schubert R et al (2012) Generalized probabilistic data association for vehicle tracking under clutter. In: Proceedings of the IEEE intelligent vehicles symposium
Nvidia Corporation (2013) Parallel programming and computing platform | CUDA. Website http://www.nvidia.com/object/cuda_home_new.html. Last visit 1 Feb 2013
Gerónimo D, López AM, Sappa AD, Graf T (2010) Survey of pedestrian detection for advanced driver assistance systems. IEEE Trans Pattern Anal Mach Intell, vol 32
Blum RS et al (2006) Multi-sensor image fusion and its applications. Taylor & Francis Group, London
Bauer S, Obst M, Streiter R, Wanielik G (2013) Evaluation of shadow maps for non-line-of-sight detection in Urban GNSS vehicle localization with VANETs—The GAIN approach. Accepted for publication at IEEE Conference on Vehicular Technology
Obst M, Richter E, Wanielik G (2011) Accurate relative localization for land vehicles with SBAS corrected GPS/INS integration and V2V communication. ION GNSS, 2011 Portland, Oregon
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Streiter, R. et al. (2013). A Prototyping ITS Station for Advanced Driver Assistance Systems and Pedestrian Safety. 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_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-00476-1_9
Published:
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00475-4
Online ISBN: 978-3-319-00476-1
eBook Packages: EngineeringEngineering (R0)