Pangyu Jeong

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A real-time pedestrian detection system is presented that runs at 24 fps on standard VGA resolution input images (640×480px) using only CPU processing. The detection algorithm uses a variable sized sliding window and intelligent simplifications such as a sparse scale space and fast candidate selection to obtain the desired speed. Details are provided(More)
New methods based on vision have emerged in the area of mobile vehicle localization. Such methods offer an improved alternative in terms of accuracy to traditional localization methods like wheel odometry. In this paper we propose such a method that does not compromise precision and can run in real time. Depending on environment, feature numbers are(More)
This paper presents a new vision sensor-based road-following method for unmanned vehicles. Usually, the performance obtained with such methods is limited by several factors like image quality according to camera types (charge-coupled device CCD/CMOS), mounted camera position, stereo-/single-vision sensors, structured/unstructured environment, and image(More)
This paper describes a new extrinsic calibration method to estimate the extrinsic parameters of a multi layer laser scanner relative to a stereo camera. Unlike the existing methods, this method has two main advantages: it is automatic and single stepped. The user imprecise selections of calibration features are avoided by using the features of a special(More)
This paper presents a new obstacle detection method that is achieved on the depth image. This obstacle detection method can be used both in clumsy office environments and in natural environments. In this paper we focus our attention on the obstacle detection in the case of pitch angle variation (weak calibration conditions) due to uneven-road surface. The(More)
This paper proposes a new approach to detect the driving region and to detect the driving possible region from image sequence. To achieve this, we use local adaptive threshold and local probability for detecting the driving region and for detecting the driving possible region, respectively. Here are the three main aspects. The first one is the driving(More)
This paper presents a real-time driving assistant application for mobile platforms. Defeating the constraints imposed by such platforms (limited memory, decreased processing power, low camera frame rate) we propose a simple and robust method for implementing various driving assistant features such as obstacle detection, collision warning or lane departure(More)