مشخصات پژوهش

عنوان	Human detection in laser range data using deep learning and 3-D objects
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	laser ranging learning (artificial intelligence) object detection pattern classification
چکیده	A novel and intelligent method for human detection using laser is presented in this paper. In this method the information is elicited from multiple frames instead of single frames which provides little information. Time has been also added to the data as the third dimension so that the data converted to 3-D data and then were used as short time series to detect 3-D objects. Finally, the data are clustered and then classified using a deep learning network which is called stacked auto encoder. The results show a better and improved performance for this method.
پژوهشگران	فریبا نصیریان (نفر اول)، حسن ختن لو (نفر دوم)