Construction and Calibration of a Low-Cost 3D Laser Scanner with 360º Field of View for Mobile Robots

Similar documents
Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots

Collapsible Cubes: Removing Overhangs from 3D Point Clouds to Build Local Navigable Elevation Maps

Calibration of a rotating multi-beam Lidar

TIMESTAMP OFFSET DETERMINATION BETWEEN AN ACTUATED LASER SCANNER AND ITS CORRESPONDING MOTOR

501, , 1052, , 1602, 1604 EXCEL EXCEL 1602UC EXCEL 1052UC EXCEL 501HC. Micro-Vu Corporation. Precision Measurement Systems

Development of a Test Field for the Calibration and Evaluation of Kinematic Multi Sensor Systems

Development of a Portable Mobile Laser Scanning System with Special Focus on the System Calibration and Evaluation

Project Title: Welding Machine Monitoring System Phase II. Name of PI: Prof. Kenneth K.M. LAM (EIE) Progress / Achievement: (with photos, if any)

Evaluating the Performance of a Vehicle Pose Measurement System

3D-2D Laser Range Finder calibration using a conic based geometry shape

Analysis of Different Reference Plane Setups for the Calibration of a Mobile Laser Scanning System

TerraMatch. Introduction

Automating Data Alignment from Multiple Collects Author: David Janssen Optech Incorporated,Senior Technical Engineer

NEW RIEGL. Triple Scanner Mobile Mapping System Specifically Designed for Rail Application. Typical Applications

Kinematic Modelling of Tracked Vehicles by Experimental Identification

APPLICATIONS FOR COORDINATED MOTION IN RADOME TESTING

LCLS Undulator Quadrupole Fiducialization Plan

Calibration of a rotating multi-beam Lidar

Tracking and Control of a Small Unmanned Aerial Vehicle using a Ground-Based 3D Laser Scanner

THE RANGER-UAV FEATURES

APN-065: Determining Rotations for Inertial Explorer and SPAN

Boresight alignment method for mobile laser scanning systems

EE565:Mobile Robotics Lecture 3

TLS Parameters, Workflows and Field Methods

3D Laser Range Finder Topological sensor gathering spatial data from the surrounding environment

A non-contact optical technique for vehicle tracking along bounded trajectories

3D Terrain Sensing System using Laser Range Finder with Arm-Type Movable Unit

Real-time Image-based Reconstruction of Pipes Using Omnidirectional Cameras

Behavior Learning for a Mobile Robot with Omnidirectional Vision Enhanced by an Active Zoom Mechanism

An Efficient Algorithm for Extrinsic Calibration between a 3D Laser Range Finder and a Stereo Camera for Surveillance

OFERTA O120410PA CURRENT DATE 10/04//2012 VALID UNTIL 10/05/2012 SUMMIT XL

Navigational Aids 1 st Semester/2007/TF 7:30 PM -9:00 PM

FOCALSPEC 3D LINE CONFOCAL SCANNER UULA DID THEY TELL YOU THAT NO-ONE CAN MEASURE IT? WE CAN.

REFINEMENT OF COLORED MOBILE MAPPING DATA USING INTENSITY IMAGES

Omni Stereo Vision of Cooperative Mobile Robots

XL-80 spares list. Application note. Overview

#65 MONITORING AND PREDICTING PEDESTRIAN BEHAVIOR AT TRAFFIC INTERSECTIONS

REMOTE SENSING LiDAR & PHOTOGRAMMETRY 19 May 2017

Application Note. Revision 1

Unmanned Vehicle Technology Researches for Outdoor Environments. *Ju-Jang Lee 1)

Acuity. Acuity Sensors and Scanners. Product Brochure

This presentation is NOT designed to replace the Hofmann installation instruction manual. This presentation is only a reference to assist in the

Linescan System Design for Robust Web Inspection

TLS Parameters, Workflows and Field Methods

Machine Tool Alignment Boring Mills, Gantries, Machining Centers, VTLs

The high speed profile sensor. 2D/3D profile sensor SENSORS & SYSTEMS SENSORS & SYSTEMS. High speed profile measurement

Novel Magnetic Field Mapping Technology for Small and Closed Aperture Undulators

New capabilities of diffuser calibration lab at GSFC NASA to support remote sensing instrumentation

Light distribution curves, illumination and isolux diagrams

Operation Manual. Autocollimator Test Wedge for quick testing of Electronic Autocollimators

Segmentation of point clouds

Aligning Continuous Casters and Steel Mill Rolls

Camera Drones Lecture 2 Control and Sensors

Robotics Project. Final Report. Computer Science University of Minnesota. December 17, 2007

NEW. Very high-speed profile measurement for industrial in line applications. 2D/3D profile sensor SENSORS & SYSTEMS

Runway Centerline Deviation Estimation from Point Clouds using LiDAR imagery

3D Point Cloud Processing

Smartphone Video Guidance Sensor for Small Satellites

DEVELOPMENT OF REAL TIME 3-D MEASUREMENT SYSTEM USING INTENSITY RATIO METHOD

Where s the Boss? : Monte Carlo Localization for an Autonomous Ground Vehicle using an Aerial Lidar Map

Sensory Augmentation for Increased Awareness of Driving Environment

A 3-D Scanner Capturing Range and Color for the Robotics Applications

Three-Dimensional Laser Scanner. Field Evaluation Specifications

High Precision Optical Instrumentation for Large Structure Position Monitoring: The BCAM System Applied to the CMS Magnet

E80. Experimental Engineering. Lecture 9 Inertial Measurement

MULTI-MODAL MAPPING. Robotics Day, 31 Mar Frank Mascarich, Shehryar Khattak, Tung Dang

Laser profile sensor, laser scanner 2D/3D for beads and grooves

B-Field Scanner Software

DEFLECTION AND TWIST MEASUREMENT SYSTEM (DTMS) Model 47

EXPERIMENTAL ASSESSMENT OF THE QUANERGY M8 LIDAR SENSOR

TLS Parameters, Workflows and Field Methods

UNIT IV - Laser and advances in Metrology 2 MARKS

Single-Axis Lasers for Flatness and Leveling Applications. Laser Systems for Flatness and Leveling L-730/L-740 Series

Airborne LIDAR borsight error calibration based on surface coincide

AUTOMOTIVE ENVIRONMENT SENSORS

LUMS Mine Detector Project

Non-Contact Thickness Measurement

Flexible Calibration of a Portable Structured Light System through Surface Plane

4. Recommended alignment procedure:

Ceilbot vision and mapping system

First scan matching algorithms. Alberto Quattrini Li University of South Carolina

Industrial 2D LASER SCANNER LMS-Q120ii

UULA FOCALSPEC 3D LINE CONFOCAL SCANNER DID THEY TELL YOU THAT NO-ONE CAN MEASURE IT? WE CAN.

Synchronization aspects of sensor and data fusion in a research multi-sensor-system

Efficient SLAM Scheme Based ICP Matching Algorithm Using Image and Laser Scan Information

Perspective Projection [2 pts]

Estimation of elevation dependent deformations of a parabolic reflector of a large radio telescope

LaserGuard LG300 area alarm system. 3D laser radar alarm system for motion control and alarm applications. Instruction manual

PRODUCT INFORMATION. Visionary-T 3D SNAPSHOT WIDE RANGE OF APPLICATIONS FOR INDOOR USE. 3D vision

Dedicated Software Algorithms for 3D Clouds of Points

CSc Topics in Computer Graphics 3D Photography

A Comparison of Laser Scanners for Mobile Mapping Applications

Computer and Machine Vision

Advanced point cloud processing

Detection and Tracking of Moving Objects Using 2.5D Motion Grids

Approximating Kinematics for Tracked Mobile Robots

The Most User-Friendly 3D scanner

Introduction to 3D Machine Vision

Autonomous Vehicle Navigation Using Stereoscopic Imaging

Large-Scale. Point Cloud Processing Tutorial. Application: Mobile Mapping

Transcription:

Construction and Calibration of a Low-Cost 3D Laser Scanner with 360º Field of View for Mobile Robots Jorge L. Martínez, Jesús Morales, Antonio, J. Reina, Anthony Mandow, Alejandro Pequeño-Boter*, and Alfonso García-Cerezo Dpto. Ingeniería de, Universidad de Málaga, Spain *Ingeniería UNO, Málaga, Spain 1

OUTLINE 1. SENSOR OVERVIEW 2. SENSOR CONSTRUCTION 3. INTRINSIC CALIBRATION 4. APPLICATION TO MOBILE ROBOTS 5. CONCLUSIONS 2

1. SENSOR OVERVIEW 3

SENSOR OVERVIEW n Low-cost 3D rangefinder with 360º field of view n Based on an off-the-shelf 2D rangefinder n Continuous spinning around the optical center of the 2D device n It weights 1.9 kg and its maximum dimensions are 125x170x222 mm. The UNO-motion 3D rangefinder 4

SENSOR OVERVIEW n The design is an evolution of a previous device [Morales et al., 2011] UNO-laser UNO-motion Hokuyo UTM-30LX with the pitching configuration Faster acquisition time 360º field of view No visible wires Intensity data Hokuyo UTM-30LX-EX with the rolling configuration 5

SENSOR OVERVIEW n Comparison with commercial multi-beam models by Velodyne 6

2. SENSOR CONSTRUCTION 7

SENSOR CONSTRUCTION n Main components of the 3D laser scanner The 3D optical center coincides with 2D optical center An slip ring provides unrestrained rotation 8

SENSOR CONSTRUCTION n Blind cone produced by the rotation of the blind area of the 2D scanner The blind zone of the 2D sensor is 90º wide The radius of the cone base is equal to the height h of the optical center 9

SENSOR CONSTRUCTION n Functional diagram of the 3D laser rangefinder PC HOST ETHERNET 2D Commands 2D Scan 2D SENSOR SLIP RING ROTATIONAL MECHANISM Motion commands Sync USB MOTION CONTROLER Power Time & Angle Encoder data SERVOMOTOR The 2D sensor and the motion controller are accessed independently The 2D synchronization signal is captured by the motion controller 10

3. INTRINSIC CALIBRATION 11

INTRINSIC CALIBRATION n Data synchronization: 2D scans and rolling angles are received through different communication ports (Ethernet- USB) 2D static scans (in red) do not match the dynamic 2D scans (in blue) Synchronization is achieved by applying a gap of 8 times the 2D scanning time 12

INTRINSIC CALIBRATION n Computing Cartesian coordinates: Small errors in the attachment of the 2D device to the rotating mechanism provoke a distorted point cloud Ideal formula without construction misalignments 13

INTRINSIC CALIBRATION n Boresight calibration: misalignment angles can be obtained by iterative maximization of the flatness and the area of planar patches from a single 3D scan [Morales et al., 2014] After calibration with β 0 = 0.5º and α 0 = -0.02º Small translation errors can not be detected due to 2D measurement limitations 14

4. APPLICATION TO MOBILE ROBOTS 15

APPLICATION TO MOBILE ROBOTS n UAVs: the sensor can be placed upside-down at the bottom of the vehicle The maximum scanning resolution is pointing to the ground 16

APPLICATION TO MOBILE ROBOTS n Outdoor mobile robot Andabata: the sensor is installed centered and on a mounting to avoid shadows from the robot Increasing the height of the sensor improves the point of view, but the radius of the blind circle around the robot also grows in proportion 17

APPLICATION TO MOBILE ROBOTS n Extrinsic parameters on Andabata: the height of the 3D sensor above the ground and the rolling angle of the longitudinal axis of the robot The height is 72.3 cm and the angle is -150.5º Calibration has been performed by aligning the robot with a corridor and extracting planes 18

APPLICATION TO MOBILE ROBOTS n A 3D scan inside of a warehouse A 360º 3D scan is completed with a 180º rotation 19

5. CONCLUSIONS 20

CONCLUSIONS n A low-cost 3D laser scanner with 360º field of view have been constructed It is based on continuous spinning of a 2D device around its optical center Intrinsic and extrinsic parameters have been calibrated With direct sunlight, the maximum range of the Hokuyo-30LX-EX reduces to 15 m 21

CONCLUSIONS n Future work To build local navigation maps for the mobile robot Andabata To correct distortions in the 3D point cloud during movement n Web page http://www.uma.es/isa Thank you! Gracias! 22