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Dahlem Center for Machine Learning and Robotics

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  • High Level Sensor Data Fusion of Radar and Lidar for Car-Following on Highways

High Level Sensor Data Fusion of Radar and Lidar for Car-Following on Highways

Daniel Goehring, Tinosch Ganjineh, Michael Schnürmacher, Miao Wang – 2013

We present a real-time algorithm which enables an autonomous car to comfortably follow other cars at various speeds while keeping a safe distance. We focus on highway scenarios. A velocity and distance regulation approach is presented that depends on the position as well as the velocity of the followed car. Radar sensors provide reliable information on straight lanes, but fail in curves due to their restricted field of view. On the other hand, lidar sensors are able to cover the regions of interest in almost all situations, but do not provide precise speed information. We combine the advantages of both sensors with a sensor fusion approach in order to provide permanent and precise spatial and dynamical data. Our results in highway experiments with real traffic will be described in detail.

Titel
High Level Sensor Data Fusion of Radar and Lidar for Car-Following on Highways
Verfasser
Daniel Goehring, Tinosch Ganjineh, Michael Schnürmacher, Miao Wang
Verlag
Springer Verlag, Heidelberg
Datum
2013
Kennung
doi 10.1007/978-3-642-37387-9_17
Quelle/n
  • Springer-Link
  • [bib]
Erschienen in
Recent Advances in Robotics and Automation - Studies in Computational Intelligence Volume 480, 2013.
Größe oder Länge
pp 217-230
Rechte
Copyright by Springer. When citing this work cite the original link.
be-digital Pressekonferenz am 07.12.15Mexico Oktober 2015MiG Mexico 2015Finalisten German Open 2014Simulator-Erfinder: Professor Raul Rojas (l.) und David Dormagen von der AG Intelligente Systeme und RobotikMadeInGermany in MexicoThe Tony Sale Award winners 2014: Robert B Garner (L) and  Raul Rojas (R), Nov. 2014Able und BakerCarolo-Cup-Team2014Formalisierung und Automatisierung von Gödels GottesbeweisAutoNOMOS-Team 2011Besuch Senatorin Yzer am 22.03.13Die autonomen Fahrzeuge der AG Intelligente Systeme und RobotikArchaeocopterMulticopterEntwicklung einer Roboterbiene

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