Soon Kwon

Soon Kwon
DestiNA Genomics Ltd. | DGL · IT devision

About

24
Publications
1,341
Reads
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174
Citations

Publications

Publications (24)
Article
This paper proposes an AE (Auto-Exposure) control method for stereo cameras. Image processing has a problem that it shows different performance depending on brightness values even with the same image processing algorithm. Auto-exposure control solves this problem by maintaining the brightness value of the acquired image. If preprocessing maintains...
Conference Paper
Major impacts of climate change expect that soil erosion rate may increase during the 21st century. This study was conducted to apply and adjust CLIGEN parameter values to generate realistic precipitation change scenarios and assess the future potential impacts of precipitation change on soil erosion at upland soils of highland in Korea. The invest...
Conference Paper
This study was carried out to understand the long-term effect of organic waste treatment on the fate of trace metals in soil originated from the organic wastes. Three organic wastes(Municipal sewage sludge, alcohol fermentation processing sludge, pig manure compost) were used in three different rate for 7 years (1994-2000). To see the long-term eff...
Article
In this paper, we introduce objects detection optical sensors (CCD sensor: Charge Coupled Device). For autonomous robot, the location of around-object is very important because robot should avoid it for driving. In the field of computer vision research, the various object detection methods have been used by research engineers. In particular, the co...
Article
In this paper, we propose a forward vehicle detection algorithm using column detection and bird's-eye view mapping based on stereo vision. The algorithm can detect forward vehicles robustly in real complex traffic situations. The algorithm consists of the three steps, namely road feature-based column detection, bird's-eye view mapping-based obstacl...
Article
In this paper, we propose stereo vision-based obstacle detection method on the road using a dense disparity map. We use the dense disparity map to detect obstacles robustly in real traffic situations. Our method consists of three stages, namely road feature extraction, column detection, obstacle segmentation. First, we extract a road feature from a...
Conference Paper
In this article, we describe an improved method of vehicle detection. AdaBoost, a classifier trained by adaptive boosting and originally developed for face detection, has become popular among computer vision researchers for vehicle detection. Although it is the choice of many researchers in the intelligent vehicle field, it tends to yield many fals...
Conference Paper
In this paper, we present an event-driven track management method to detect reliably and track robustly while minimizing missing and false detections. No state-of-the-art vehicle detection method can detect all the vehicles on the road without error. A multi-vehicle tracking method is essential to minimize the number of missing and false detections...
Article
In this paper, we present a multi-vehicle tracking method that uses integrated position and motion tracking methods to minimize missing and false detection. No existing state-of-the-art vehicle detection method can detect all the vehicles on the road and remove all false positive alarms. Therefore, a robust tracking-by-detection algorithm is necess...
Article
This paper presents stereo vision-based vehicle detection approach on the road using a road feature and disparity histogram. It is not easy to detect only vehicles robustly on the road in various traffic situations, for example, a nonflat road or a multiple-obstacle situation. This paper focuses on the improvement of vehicle detection performance i...
Article
This paper presents a method for estimating the position and velocity of a moving obstacle in a moving vehicle. In most stereo vision systems, an obstacle’s position is calculated by triangulation or an inverse perspective map (IPM) approach. However, measurement errors increase at long range due to quantization errors and matching errors. The key...
Conference Paper
In this paper, we present a method to track multiple moving vehicles using the global nearest neighborhood (GNN) data association (DA) based on 2D global position and virtual detection based on motion tracking. Unlikely the single target tracking, multiple target tracking needs to associate observation-to-track pairs. DA is a process to determine w...
Article
In this paper, we present a visual obstacle detection and tracking system based on a dense stereo vision method. We combine a global stereo matcher with a correlation based cost function for generating a reliable disparity-map. An NCC algorithm is robust to illumination variation, and a BP based global disparity computation algorithm is efficient f...
Article
This paper proposes an efficient hardware architecture to estimate disparities between 2D images for generating 3D depth images in a stereo vision system. Stereo matching methods are classified into global and local methods. The local matching method uses the cost functions based on pixel windows such as SAD(sum of absolute difference), SSD(sum of...
Article
In this paper, we present a low memory-cost message iteration architecture for a fast belief propagation(BP) algorithm. To meet the real-time goal, our architecture basically follows multi-scale BP method and truncated linear smoothness cost model. We observe that the message iteration process in BP requires a huge intermediate buffer to store four...
Conference Paper
In this paper, we present a method to estimate obstacles' position and track multiple obstacles on the road based on a stereo vision system. A stereo vision system can measure distance to an obstacle using disparity. However, this system has several problems such as sampling error, geometric problems due to the installation of a stereo camera, and...
Conference Paper
In this paper, we propose an obstacle localization method using column detection with a binarized v-disparity map. For localizing obstacles robustly in environments where there exist many obstacles, such as roadside trees, pedestrians, or where median strips exist, we also propose a new method which extracts a road feature. We create a binarized v-...
Article
In this paper, a method to estimate and track the distance and velocity of an obstacle on the road based on a stereo vision system is presented. The distance and velocity can be calculated using the disparity in the stereo vision system. However, the quantization error of the pixels causes a deterioration in accuracy. The sub-pixel interpolation is...
Conference Paper
We present a distance measurement method based on stereo vision system while guaranteeing accuracy and reliability. It has been considered as difficult problem to measure both long and short distance with a stereo vision system accurately due to sampling error and camera sensor error. To resolve these problems of the stereo vision system, we utiliz...
Conference Paper
The cellular relay network can provide both coverage extension and capacity enhancement. However, the network in nature requires more complex operation for maintaining each connection because of an increase dimension of node mobility that affects the signal-to-noise ratio (SNR) at each receiver node in the respective link in the relay architecture....
Article
In this paper, we investigate a real-time environment recognition system based on stereo vision for moving object. This system consists of stereo matching, obstacle detection and distance estimation. In stereo matching part, depth maps can be obtained real road images captured adjustable baseline stereo vision system using belief propagation(BP) al...
Article
In this paper, we design a future mobile camera standard interface based on the MIPI CSI-2 and D-PHY specification. The proposed CSI-2 have the efficient multi-lane management layer, which the independent buffer on the each lane are merged into single buffer. This scheme can flexibly manage data on multi lanes though the number of supported lanes a...
Conference Paper
Cycle-accurate energy estimation is very useful in reducing the energy consumption in the CMOS digital circuits, which was reported in [1]–[3]. This paper introduces a measurement-based energy estimator, describes a new energy calculation method for the CMOS circuits. We found that instead of representing all load capacitance as a capacitor to grou...

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