Understanding the Meaning of “Project Success”

Fortune 500 organizations are executing their tasks using projects. Project management is the area of concentration across the world. Different stakeholders have a different perspective about project success. The meaning of project success had been explained in this article. In addition, the Project Critical Success Factors (CSFs) were mentioned. The research of Standish Group on project success and project success metrics was presented. Earlier research on the meaning of project success and project critical success factors was highlighted. The works of Jeffery K. Pinto and Dennis P. Slevin, David and Adam, DeLone and McLean, and The Standish Group Research were discussed in this article. The methodology included secondary research based on literature view of prominent empirical studies and the literature reviews by making note of findings and observations from those studies. The initial literature collected led to further search of articles based on their references. The research findings indicate that the top of the most success factors for many projects include project objective, top management commitment, competent project team, and user involvement

Parking Camera Calibration for Assisting Automated Road Defect Detection

This is the author accepted manuscript. It is currently under an indefinite embargo pending publication by Osaka University.Accurate and timely information is essential for efficient road maintenance planning. Current practice mainly depends on manual visual surveys that are laborious, time consuming, subjective and not frequent enough. We overcame this limitation in our previous work, by proposing a method that automatically detects road defects in video frames collected by a parking camera. The use of such a camera leads to capturing the surroundings of the road, such as sidewalks and sky due to its wide field of view. This unnecessarily reduces the method’s performance. This paper presents a process that identifies the correct Region of Interest (myROI). myROI corresponds to the region of the camera’s field of view that corresponds to the road lane, while considering defect inspection guidelines. We use the theory of inverse perspective mapping (IPM) to map the road frame coordinates to world coordinates. The camera specifications, and position, lane width and road defect detection guidelines constitute the parking camera calibration parameters for the calculation of myROI’s span and boundaries. We performed computational experiments in MATLAB to calculate myROI, and validated the results with field experiments, where we used a metric tape to measure the road defects. Preliminary results show that the proposed process is capable of calculating myROI.This material is based in part upon work supported by the National Science Foundation under Grant Number 1031329