Chi-Pang Lam

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— In this paper, we propose an efficient algorithm to find an optimal control policy in a discrete-time hidden mode stochastic hybrid system, which is a special case of partially observable discrete-time stochastic hybrid systems in which only discrete states are hidden. Many human-centered systems can be modeled as such systems, in which the intent of the(More)
Motivated by the theory of low-rank matrix representation , a new type of invariant image feature, called transform-invariant low-rank texture (TILT), has been recently proposed. However, the applicability of TILT features in computer vision has been severely limited by two major problems. First, TILT feature representation is based on the assumption that(More)
— Existing commercial driver assistance systems, including automatic braking systems and lane-keeping systems, may monitor the state of the vehicle or the environment to determine whether the systems should intervene. However, the state of the human driver is not typically included in the decision making process. In this paper, we propose to use hidden mode(More)
· Developed provably correct decision making process for humans and unmanned systems [1][2][3]. · Proposed an algorithm to segment natural images into a geometric layer and a non-geometric layer, and effectively detect TILT features on the geometric layer [4]. NTU · Proposed a navigation algorithm that could achieve safe and smooth navigation in a(More)
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