Blar i Institutt for teknisk kybernetikk på forfatter "Teigen, Andreas Langeland"

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    • Detecting and Suppressing Marine Snow for Underwater Visual SLAM 

      Hodne, Lars Martin; Leikvoll, Eirik; Yip, Mauhing; Teigen, Andreas Langeland; Stahl, Annette; Mester, Rudolf (Peer reviewed; Journal article, 2022)
      Conventional SLAM methods which work very well in typical above-water situations, are based on detecting key-points that are tracked between images, from which ego-motion and the 3D structure of the scene are estimated. ...

    • Few-Shot Open World Learner 

      Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf (Peer reviewed; Journal article, 2021)
      Computer vision based recognition systems in dynamically changing environments require continuously updating datasets with novel detected categories while maintaining equally high performance on previously established ...

    • Few-shot open world learning 

      Teigen, Andreas Langeland (Master thesis, 2020)
      Datasynsystemer blir i økende grad tatt i bruk ute i dagligdags- og feltarbeidsapplikasjoner. Denne overgangen fra kontrollerte lab-omgivelser til den vide verden byr derimot på flere nye problemer. I stedet for kun å møte ...

    • The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth 

      Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette (Peer reviewed; Journal article, 2021)
      Underwater visual perception requires being able to deal with bad and rapidly varying illumination and with reduced visibility due to water turbidity. The verification of such algorithms is crucial for safe and efficient ...