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Vision-Language Modeling with Regularized Spatial Transformer Networks for All Weather Crosswind Landing of Aircraft
May 10, 2024, 4:45 a.m. | Debabrata Pal, Anvita Singh, Saumya Saumya, Shouvik Das
cs.CV updates on arXiv.org arxiv.org
Abstract: The intrinsic capability to perceive depth of field and extract salient information by the Human Vision System (HVS) stimulates a pilot to perform manual landing over an autoland approach. However, harsh weather creates visibility hindrances, and a pilot must have a clear view of runway elements before the minimum decision altitude. To help a pilot in manual landing, a vision-based system tailored to localize runway elements likewise gets affected, especially during crosswind due to the …
abstract aircraft arxiv capability cs.cv depth of field extract however human information intrinsic landing language modeling networks pilot spatial transformer type visibility vision vision-language weather
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