Abstract
Light Detection And Ranging (LIDAR) is an optical measurement principle to localize and measure the distance of objects in space. Basically it is similar to a RADAR-system, but instead of using microwaves LIDAR uses ultraviolett, infrared or beams within the visible light spectrum. Besides distance measurements, which is the basic task, LIDAR sensors can be used for a limited visual detection of objects by analyzing the light intensity, visibility measurement by analyzing the shape of the reflected LIDAR pulse, day/night detection as background illumination is significantly different between day and night, pollution detection and speed estimation. As several research vehicles for autonomous driving vehicles like e.g. Google car use LIDAR as basis sensor technology for scanning the environment there is an increase in development activities for LIDAR sensors meeting automotive requirements (cost, performance, reliability).
Parking Assistance are systems which support the driver during parking manoeuver. This is achieved either by providing distance information to relevant obstacles, camera images or additionally by steering assistance. For the different system configurations requirements regarding sensors, signal processing, HMI, interfaces to the vehicle network need to be met. While first parking systems only provided informations to the driver, recent systems provide lateral steering support and current plus next gerneration parking systems will take more and more both lateral and longitudinal controll of the vehicle during the parking manoeuver. In the near future Valet Parking systems will be available, where the system searches for a suitable parking slot and performs the entire parking process automatically.
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References
Arita S, Goff D, Miyazaki H, Ishio W (2007) Wide Field of View (FOV) and high-resolution Lidar for advanced driver assistance systems. SAE 07AE-238
Berges A, Cathala T, Mametsa HJ, Rouas F, Lamiscarre B (2002) Apport de la simulation aux études de radar pour applications en vision renforcée. Revue de l„électricité et de l„électronique: REE. Revue de la Société des Électriciens et des Électroniciens 4:35–38
Continental (2015) Continental integrates camera and infrared functions in one compact unit (press release). http://www.continental-corporation.com/www/presseportal_com_de/themen/pressemitteil-ungen/3_automotive_group/chassis_safety/press_releases/pr_2012_10_17_srl_cam_de.html. Acce-ssed 11 June 2015
Filos J, Karseras E, Dai W, Yan S (2015) Tracking dynamic sparse signals with hierarchical Kalman filters: a case study. http://www.commsp.ee.ic.ac.uk/~jf203/dsp2013.pdf. Accessed 11 June 2015
Höver N, Lichte B, Lietaert S (2006) Multi-beam Lidar sensor for active safety applications. SAE 06AE-138
IEEE (2013) IEEE J Solid-State Circ 48, No.2. Feb 2013
Jiang QN, Ka LH, Kai WT (2015) Model-based multirate Kalman filtering approach for optimal two-dimensional signal reconstruction from noisy subband systems. http://hub.hku.hk/bitstream/10722/42383/1/44479.pdf?accept=1. Accessed 11 June 2015
Laser Components (2015a) Pulsed laser diodes. http://www.lasercomponents.com/de-en/product/pulsed-laser-diodes-at-905-nm/. Accessed 11 June 2015
Laser Components (2015b) Silicon APDs for photon counting information about the detection of the smallest amounts of light with avalanche photodiodes. http://www.lasercomponents.com/de-en/product/silicon-apds-for-photon-counting/
Luo RC, Kay MG (1998) Multisensor integration and fusion in intelligent systems. IEEE Trans Syst Man Cybern 19:901–931
Mehr W (2008) Continental – segment advanced driver assistance systems. 2 Aug 2008
OSRAM (2015) OSRAM SPL LL90 – hybrid pulsed laser diode with integrated driver stage – internet investigation/product information OSRAM. http://datasheet4u.com/datasheet/S/P/L/SPLLL85_OSRAM.pdf.html. Accessed 11 June 2015
Tischler K (2006) Sensor data fusion for cooperative perception with multiple vehicles. In: Proceedings of the SEE conference cognitive systems with interactive sensors, Paris, Mar 2006
Velodyne (2015) http://velodynelidar.com/lidar/lidar.aspx. Accessed 11 June 2015
Wikipedia (2015a) Kalman filter. https://en.wikipedia.org/wiki/Kalman_filter. Accessed 11 June 2015
Wikipedia (2015b) Laser safety. http://en.wikipedia.org/wiki/Laser_safety. Accessed 11 June 2015
Wikipedia (2015c) Google driverless car. https://en.wikipedia.org/wiki/Google_driverless_car. Accessed 11 June 2015
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Gotzig, H., Geduld, G. (2016). Automotive LIDAR. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds) Handbook of Driver Assistance Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-12352-3_18
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DOI: https://doi.org/10.1007/978-3-319-12352-3_18
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