GeoSignum is currently looking for a highly skilled and enthusiastic team member who has a background in computer vision, robotics, systems and control, embedded systems or similar fields. The goal of this traineeship/internship is to research/prototype and calibrate an omnidirectional camera with a 360-degree field of view.
Details
Responsibilities
Research different methods of achieving omnidirectional view (Catadioptric, Dioptric, Polydioptric)
Based on the outcome of the research build/implement an omnidirectional camera with a 360-degree field of view
Calibrate camera to remove lens distortions
Interested?
You will work on a unique game changer project where you will have opportunities to learn unique applications in the field.
Address: Molengraaffsingel 10 (YESDelft Labs) 2629 JD, Delft, The Netherlands
About Us
GeoSignum is a high-tech start-up company based in Delft and member of the YES!Delft business incubator. GeoSignum develops pioneering software and hardware solutions to automatically detect, extract and map geographical objects and features from 3D LiDAR datasets captured from various platforms(Mobile or Airborne) using the state of the art 3D computer vision, advanced data processing and machine learning techniques.
AfghanistanAlbaniaAlgeriaAndorraAngolaAntigua and BarbudaArgentinaArmeniaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia and HerzegovinaBotswanaBrazilBruneiBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCentral African RepublicChadChileChinaColombiaComorosCongo: Democratic RepublicCongo: RepublicCook IslandsCosta RicaCroatiaCubaCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEast TimorEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFijiFinlandFranceGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGrenadaGuatemalaGuineaGuinea-BissauGuyanaHaitiHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsraelItalyIvory CoastJamaicaJapanJordanKazakhstanKenyaKiribatiKorea, NorthKorea, SouthKosovo UN1244 (*not recognized by majority of countries)KuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacauNorth MacedoniaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMauritaniaMauritiusMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew ZealandNicaraguaNigerNigeriaNiueNorwayOmanPakistanPalauPalestinian AuthorityPanamaPapua New GuineaParaguayPeruPhilippinesPolandPortugalPuerto RicoQatarRomaniaRussiaRwandaSaint Kitts and NevisSaint LuciaSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth SudanSpainSri LankaSudanSurinameSwazilandSwedenSwitzerlandSyriaTaiwanTajikistanTanzaniaThailandTogoTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited States of AmericaUruguayUzbekistanVanuatuVatican CityVenezuelaVietnamWestern SaharaYemenZambiaZimbabwe
Knowledge and practical experience with Python/C++, Linux, OpenCV and ROS
Experience with interfacing optical and image sensors.
Basic knowledge of camera models, lens distortions and calibration techniques and coding skills, with the ability to work in a team in a high-tech start-up environment
Deadline:
As soon as possible
Location(s)
Delft
Overview
Details
Opportunity is About
Eligibility
Description of Ideal Candidate 
Dates
Cost/funding for participants
Un-save Opportunity
