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Night vision obstac...
Night vision obstacle detection and avoidance based on Bio-Inspired Vision Sensors
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- Yasin, Jawad N. (författare)
- Univ Turku, Dept Future Technol, Turku 20500, Finland.
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- Mohamed, Sherif A. S. (författare)
- Univ Turku, Dept Future Technol, Turku 20500, Finland.
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- Haghbayan, Mohammad-hashem (författare)
- Univ Turku, Dept Future Technol, Turku 20500, Finland.
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- Heikkonen, Jukka (författare)
- Univ Turku, Dept Future Technol, Turku 20500, Finland.
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- Tenhunen, Hannu (författare)
- KTH,Elektronik och inbyggda system
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- Yasin, Muhammad Mehboob (författare)
- King Faisal Univ, Dept Comp Networks, Al Hufuf, Saudi Arabia.
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- Plosila, Juha (författare)
- Univ Turku, Dept Future Technol, Turku 20500, Finland.
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Univ Turku, Dept Future Technol, Turku 20500, Finland Elektronik och inbyggda system (creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2020
- 2020
- Engelska.
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Ingår i: Proceedings 2020 IEEE SENSORS. - : Institute of Electrical and Electronics Engineers (IEEE).
- Relaterad länk:
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https://ieeexplore.i...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). However, the detection of obstacles especially during night-time is still a challenging task since the lighting conditions are not sufficient for traditional cameras to function properly. Therefore, we exploit the powerful attributes of event-based cameras to perform obstacle detection in low lighting conditions. Event cameras trigger events asynchronously at high output temporal rate with high dynamic range of up to 120 dB. The algorithm filters background activity noise and extracts objects using robust Hough transform technique. The depth of each detected object is computed by triangulating 2D features extracted utilising LC-Harris. Finally, asynchronous adaptive collision avoidance (AACA) algorithm is applied for effective avoidance. Qualitative evaluation is compared using event-camera and traditional camera.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Event-based camera
- Night-vision
- Asynchronous
- Obstacle detection
- Collision avoidance
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)