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Pedestrian lane detection is a crucial task in assistive navigation for vision-impaired people. It can provide information on walkable regions, help blind people stay on the pedestrian lane, and assist with obstacle detection. An accurate and real-time lane detection algorithm can improve travel safety and efficiency for the visually impaired. Despite its importance, pedestrian lane detection in unstructured scenes for assistive navigation has not attracted sufficient attention in the research community. This paper aims to provide a comprehensive review and an experimental evaluation of method...

Despite the initial hype, ONDC project faces issues such as lack of awareness, scalability issues, tech fine-tuning and data privacy.

BENGALURU: A new study from IISc’s Centre for Neuroscience (CNS) has explored how well deep neural networks — machine learning systems inspired by the network of brain cells or neurons in the human brain — compare to the human brain when it comes to visual perception. Pointing out that deep neural networks can be trained to perform specific tasks, researchers say that they have played a pivotal role in helping scientists understand how our brains perceive the things that we see. “Although deep networks have evolved significantly over the past decade, they are still nowhere close to ...