Motor Focus: Ego-Motion Prediction with All-Pixel Matching

arXiv:2404.17031v1 Announce Type: new
Abstract: Motion analysis plays a critical role in various applications, from virtual reality and augmented reality to assistive visual navigation. Traditional self-driving technologies, while advanced, typically do not translate directly to pedestrian applications due to their reliance on extensive sensor arrays and non-feasible computational frameworks. This highlights a significant gap in applying these solutions to human users since human navigation introduces unique challenges, including the unpredictable nature of human movement, limited processing capabilities of portable devices, …

abstract advanced analysis applications arrays arxiv augmented reality computational cs.cv driving focus frameworks highlights navigation pedestrian pixel prediction reality reliance role self-driving sensor technologies translate type virtual virtual reality visual visual navigation while