Shengyan Zhou

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Many people die each year in the world in single vehicle roadway departure crashes caused by driver inattention, especially on the freeway. Lane Departure Warning System (LDWS) is a useful system to avoid those accident, in which, the lane detection is a key issue. In this paper, after a brief overview of existing methods, we present a robust lane detection(More)
Road detection is an important problem with application to driver assistance systems and autonomous, self-guided vehicles. The focus of this paper is on the problem of feature extraction and classification for front-view road detection. Specifically, we propose using Support Vector Machines (SVM) for road detection and effective approach for self-supervised(More)
Road detection is a crucial problem in the application of autonomous vehicle and on-road mobile robot. Most of the recent methods only achieve reliable results in some particular well-arranged environments. In this paper, we describe a road detection algorithm for front-view monocular camera using road probabilistic distribution model (RPDM) and online(More)
Shengyan Zhou and Junqiang Xi Department of Mechanical Engineering, Beijing Institute of Technology, Haidian, Beijing 100081, China e-mail: zhousy@mit.edu, xijunqiang@hotmail.com Matthew W. McDaniel and Takayuki Nishihata Robotic Mobility Group, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 e-mail: mcdaniel@mit.edu Phil Salesses(More)
This paper presents an approach to detect and recognize traffic signs present in the urban scenes in China. The algorithm is composed of three steps that are color segmentation, shape detection and pictogram recognition. In the first step Ridge Regression is used to obtain a precise segmentation in RGB color space and achieves the same good performance as(More)
The 2009 Future Challenge - Intelligent Vehicle and Beyond (FC'09) was held in Xi'an, China. Our intelligent vehicle named BIT participated in all competitions at this event. This paper describes BIT's system structure and its capabilities. BIT combines a global path planning method and local path planning to drive the vehicle to address the challenges(More)
Current aging society has seen huge increases in portable devices sending massive volume of signals to medical servers. To address inefficient and unscalable signal processing on generic servers and clients, in this paper, we present an FPGA(field programmable gate array)-assisted cloud system providing an efficient framework for electrocardiogram (ECG)(More)
Telemedicine provides health care services at a distance using information and communication technologies, which intends to be a solution to the challenges faced by current health care systems with growing numbers of population, increased demands from patients, and shortages in human resources. Recent advances in telemedicine, especially in wearable(More)