Son Hojun, Krishnagiri Divya, Jeganathan V Swetha, Weiland James
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3327-3330. doi: 10.1109/EMBC44109.2020.9176623.
Street crossing can be a significant challenge for visually impaired people, limiting their mobility especially in urban environments. To date, there are few solutions for this significant problem. Current approaches for guiding blind pedestrians in crosswalks have mainly focused on detection of crosswalks and crosswalk signals. Few studies have taken into consideration the mobility of a visually impaired person while street crossing. We programmed a commercially available, wearable goggle system to detect crosswalk signals, to plan a path across the street, and to provide verbal guiding cues with real-time semantic features to keep the user on the correct path. During verification testing, we found crosswalk signal detections were typically reliable but depended on hyper-parameters to reduce false positive errors in the crosswalk signs in a small number of cases. Testing with visually impaired subjects resulted in successful guidance at an outdoor crosswalk.
对于视障人士来说,过马路可能是一项重大挑战,这限制了他们的行动能力,尤其是在城市环境中。迄今为止,针对这一重大问题的解决方案很少。目前在人行横道上引导盲人行人的方法主要集中在人行横道和人行横道信号的检测上。很少有研究考虑到视障人士过马路时的行动能力。我们对一个商用的可穿戴护目镜系统进行编程,以检测人行横道信号、规划过马路的路径,并提供具有实时语义特征的语音引导提示,以确保用户走在正确的道路上。在验证测试中,我们发现人行横道信号检测通常是可靠的,但在少数情况下,这取决于超参数来减少人行横道标志中的误报错误。对视障受试者进行的测试在户外人行横道上实现了成功引导。