Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos
Hemang Chawla,
Matti Jukola,
Shabbir Marzban
et al.
Abstract:Spatial scene-understanding, including dense depth and ego-motion estimation, is an important problem in computer vision for autonomous vehicles and advanced driver assistance systems. Thus, it is beneficial to design perception modules that can utilize crowdsourced videos collected from arbitrary vehicular onboard or dashboard cameras. However, the intrinsic parameters corresponding to such cameras are often unknown or change over time. Typical manual calibration approaches require objects such as a chessboar… Show more
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