Lane Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation

This book PDF is perfect for those who love Augmented reality genre, written by Rabe, Johannes and published by KIT Scientific Publishing which was released on 10 January 2019 with total hardcover pages 196. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Lane Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation books below.

Lane Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation
Author : Rabe, Johannes
File Size : 42,6 Mb
Publisher : KIT Scientific Publishing
Language : English
Release Date : 10 January 2019
ISBN : 9783731508540
Pages : 196 pages
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Lane Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation by Rabe, Johannes Book PDF Summary

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.

Lane Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation

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

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Lane Precise Localization With Production Vehicle Sensors and Application to Augmented Reality Navigation

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

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