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As one of the few (statistically under 1%) among all PhD theses from all fields, the university of Auckland selected my thesis as one of the best theses of the year 2014! The selection is done based on the overall acheivemnts of the candidates during the course of study, thesis content, quality of the oral defence, and the report of international examiners for excellence of the PhD thesis.
Having an average h5-median of 167 citations per paper, CVPR holds the world Rank #1, higher than ANY other conferences and journals in the field of Computer Vision. CVPR is also the only conference proceedings among top 100 publications in ALL academic fields, where the 99 others are just journal publications. Being the first author, my paper titled "Look at the Driver, Look at the Road: No Distraction! No Accident!" is accepted in CVPR 2014 and will be presented in Columbus, Ohio, USA, on June 24-27, 2014. The paper proposes a CV-based method for simultaneous monitoring of the "driver behaviour" and "road hazards" to prevent imminent crashes in real-world driving scenarios. We introduce a robust method for detecting the driver's head pose, driver's direction of attention, head nodding, and yawning detection, all as "cockpit" data. Simultaneously we detect the vehicles on the road along with inter-vehicle distance measurement and crash risk analysis, as "road" data. Applying a concurrent data fusion on "cockpit" & "road" data, the developed system is able to predict high-risk driving scenarious, prior to an imminent crash. We use two monocular vision sensors (one facing to the driver and one facing to the road), and the entire system performs real-time under real-world driving conditions.
After gaining successful and promising results in developing my PhD research, now we are looking for angle investors to commercialize the IntelliEye as a revolutionary safety product for automotive industry and transportation systems. Utilizing computer vision and image processing techniques, the system is able to detect driver’s level of drowsiness, fatigue and distraction by tracking and analyzing driver's eye status and head pose. IntelliEye aims to predict imminent crashes, and warns the driver a few seconds before a fatal crash happens. We look for keen angel investors who have a strong connection with automotive industry, car manufacturers, or have a professional background in safety related products.
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 Spark $100K Qualifiers Award
As one of the finalists of Spark competition, I am proud to announce I won two reputable prizes of the year 2011: "Spark Ideas Challenge Award" and "Spark $100,000 Qualifiers Award". My project-IntelliEye has been selected as one of the top 11 programs among all applications received from all faculties, students and staff! The Spark challenge is New Zealand's premier business plan competition. With worthwhile prizes, mentoring and networks, the $100K challenge is designed as a launch pad for students and staff from all disciplines to transform their academic ideas into a real business. Established in 2003, Spark was inspired by similar competitions at the Massachusetts Institute of Technology (MIT) and the University of Cambridge Entrepreneurs. Based on their success, Spark was established to foster an entrepreneurial culture and commercialise the host of innovative ideas developed within tThe University of Auckland for the benefit and prosperity of New Zealand.
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Ministry of Science and Technology (PR China) and thirteen member delegation visited the University of Auckland on 28 March 2011. As the only selected PhD student from the University of Auckland and from .enpeda.. team, it was a great honor for me to have this opportunity to present a live demo of my work to him and the accompanying visitors. After an extensive talk and detailed demonstration of our research results, the Hon. Minister Dr. Wan Gang concluded: "Every truck and long-distance bus in China should be equipped with this technology!"
Special thanks to Sandino Morales and Shuang An (Inside the car and standing beside the car, top left image) for their
great assistance in this presentation.
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