Self Calibration Of Multi Camera Systems For Vehicle Surround Sensing
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Self-Calibration of Multi-Camera Systems for Vehicle Surround Sensing
Author: Knorr, Moritz
language: en
Publisher: KIT Scientific Publishing
Release Date: 2018-12-19
Multi-camera systems are being deployed in a variety of vehicles and mobile robots today. To eliminate the need for cost and labor intensive maintenance and calibration, continuous self-calibration is highly desirable. In this book we present such an approach for self-calibration of multi-Camera systems for vehicle surround sensing. In an extensive evaluation we assess our algorithm quantitatively using real-world data.
Self-Calibration of Multi-Camera Systems for Vehicle Surround Sensing
Multi-camera systems are being deployed in a variety of vehicles and mobile robots today. To eliminate the need for cost and labor intensive maintenance and calibration, continuous self-calibration is highly desirable. In this book we present such an approach for self-calibration of multi-Camera systems for vehicle surround sensing. In an extensive evaluation we assess our algorithm quantitatively using real-world data. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation
Author: Rabe, Johannes
language: en
Publisher: KIT Scientific Publishing
Release Date: 2019-01-10
This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current lane. Furthermore, a possible architecture for an intuitive route guidance system based on Augmented Reality is proposed together with a lane-change recommendation for unclear situations.