This thesis presents the topic of the extrinsic calibration of active and passive sensors which are used on modern intelligent vehicles to get a rich perception of the surrounding environment. An in-depth analysis of the intercalibration procedure was conduced with respect to the data fusion accuracy. Several laser and camera intercalibration procedure are presented and a new method based on triangular calibration target is detailed. Finally, a calibration procedure is proposed; tested on different prototypes (e.g., BRAiVE and VIAC vehicles) with different sensor suits.

Laser and Camera Intercalibration Techniques for Multi-Sensorized Vehicles

2013

Abstract

This thesis presents the topic of the extrinsic calibration of active and passive sensors which are used on modern intelligent vehicles to get a rich perception of the surrounding environment. An in-depth analysis of the intercalibration procedure was conduced with respect to the data fusion accuracy. Several laser and camera intercalibration procedure are presented and a new method based on triangular calibration target is detailed. Finally, a calibration procedure is proposed; tested on different prototypes (e.g., BRAiVE and VIAC vehicles) with different sensor suits.
2013
Inglese
calibration
camera
camera extrinsic calibration
computer vision
cross-calibration
intelligent vehicles
intercalibration
laser
laser scanner
localization determination problem
multi-layer LIDAR
perspective three points problem
sensor fusion
triangular calibration targets
Università degli Studi di Parma
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/243160
Il codice NBN di questa tesi è URN:NBN:IT:UNIPR-243160