Browsing by Author "Chen, Chao-Jung"

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A new vehicle detection with distance estimation for lane change warning systems
(2007)
Wu, Bing-Fei
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Chen, Wei-Hsin
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Chang, Chai-Wei
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Chen, Chao-Jung
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Chung, Ming-Wei
In this paper, the vehicle detection with distance estimation algorithm is proposed by using two CCD cameras mounted on the both side mirrors of our experimental car, TAIWAN iTS-1. The Sobel edge pixels and gray intensity are applied for the lane marking and vehicle detection in our work. A new detection which utilizes a lane prediction technique to reduce the size of the ROI is developed for real-time embedded system applications. The side vehicles can be easily detected by comparing the gray intensity with the road surface. Then, the image coordinate model is utilized for the distance estimation with the detected approaching vehicles. The verified effective distance is 30m behind the host vehicle. This approach has been successfully implemented on the DSP board for the real-time detection and this system will be extended to the lane change warning system to give drivers alerts to avoid collision.
A Real-Time Driving Assistance and Surveillance System
(2009-09-01)
Chen, Chao-Jung
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Peng, Hsin-Yuan
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Wu, Bing-Fei
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Chen, Ying-Han
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電控工程研究所
Thousands of people are killed or injured in the vehicle accidents which are mostly caused by the carelessness of humans. Therefore, if there exists a warning system which can notify the driver of the approaching vehicles and the lane departure, the terrible tragedies can be greatly avoided. Moreover, if the driving status, such as the situation around the vehicle and the drivers' behaviors, can be recorded in videos, not only in texts, the police officers can reconstruct the scene easily. Furthermore, the increasing numbers of stolen cars is an important issue so the protection of the vehicles is essential. In this paper, a real-time DSP-based driving assistance and surveillance system is proposed. It can manipulate the images to detect the lane and the vehicles in both front and rear directions and the full-time driving status can also be recorded in H.264, After the car is parked, the monitor images inside the vehicle can be transmitted to users' mobile phones. The contribution of this paper is to provide an embedded system to improve the security at all-time, and the drivers, the passengers, and the vehicles can be much safer. The proposed system has been successfully implemented and fully tested by the real road environment in Taiwan so the stability and the reliability can be ensured.
A Real-Time Vision-Based Safety Assist System
(2008)
Wu, Bing-Fei
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Chen, Ying-Han
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Peng, Hsin-Yuan
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Chen, Chao-Jung
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電控工程研究所
In this paper, a real-time vision-based safety assist system is proposed to provide the driver an assistance system improving the security on driving and after parking. The estimated distances and a friendly intuitive graph are shown on the screen for drivers to examine the distance between other vehicles. The driving status can also be recorded in H.264. Furthermore, the users' mobile phones can monitor the images inside the vehicles to prevent the thieves after parking. The system has been implemented with the embedded systems and tested by the real road environment.
A vision-based blind spot warning system for daytime and nighttime driver assistance
(2013-04-01)
Wu, Bing-Fei
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Huang, Hao-Yu
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Chen, Chao-Jung
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Chen, Ying-Han
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Chang, Chia-Wei
This paper proposes an effective blind spot warning system (BSWS) for daytime and nighttime conditions. The proposed BSWS includes camera models of a dynamic calibration and blind spot detection (BSD) algorithms for the daytime and nighttime. Under daytime conditions, the proposed system presents the Horizontal Edge and Shadow Composite Region (HESCR) method to extract the searching region and to acquire the shadow location of the targeted vehicles. Additionally, to detect vehicles at nighttime road scenes, the proposed system extracts bright objects and recognizes the paired headlights of the targeted vehicles for the BSD. The BSWS is implemented on a DSP-based embedded platform. The results of the BSWS are obtained by conducting practical experiments on our camera-assisted car on a highway in Taiwan under both nighttime and daytime conditions. Experimental results show that the proposed BSWS is feasible for vehicle detection and collision warning in various daytime and nighttime road environments. (C) 2013 Elsevier Ltd. All rights reserved.
A Vision-Based Collision Warning System by Surrounding Vehicles Detection
(2012-04-25)
Wu, Bing-Fei
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Chen, Ying-Han
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Kao, Chih-Chun
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Li, Yen-Feng
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Chen, Chao-Jung
To provide active notification and enhance drivers' awareness of their surroundings, a vision-based collision warning system that detects and monitors surrounding vehicles is proposed in this paper. The main objective is to prevent possible vehicle collisions by monitoring the status of surrounding vehicles, including the distance to the other vehicles in front, behind, to the left and to the right sides. In addition, the proposed system collects and integrates this information to provide advisory warnings to drivers. To offer the correct notification, an algorithm based on features of edge and morphology to detect vehicles is also presented. The proposed system has been implemented in embedded systems and evaluated on real roads in various lighting and weather conditions. The experimental results indicate that the vehicle detection ratios were higher than 97% in the daytime, and appropriate for real road applications.
Audio-video recorder for vehicles
(2006-11-16)
Wu, Bing-Fei
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Chen, Chao-Jung
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Peng, Hsin-Yuan
The present invention relates to an audio-video recorder for vehicles, which is capable of judging whether the vehicles are at risk or emergent situation, then, if necessary, activating the audio-video recording of the driving process, and preserving the data after encryption. If there is any traffic accident happened and some accident causes need to be judged, the data preserved by the recorder can serve as an important basis.
Burglarproof security system
(2005-04-28)
Wu, Bing-Fei
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Chen, Chao-Jung
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Peng, Hsin-Yuan
A burglarproof security system is disclosed, wherein a video for a target object is recorded and transmitted to a mobile device at the far end at the first time via a wireless communication. The mobile device has a display device for displaying the video, so that a user can monitor and assure the safety of the target object.
Degraded License Plate Recognition System for Town Buses on Highway
(2013)
Wu, Bing-Fei
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Huang, Hao-Yu
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Chen, Yen-Lin
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Lin, Hsin-Yu
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Lee, Tsu-Tian
This study presented a Degraded License Plate Recognition (DLPR) to identify town buses on highway. Since the License Plates (LPs) of town buses are influenced by the external conditions and become hardly distinguished by the Optical Character Recognition (OCR) method. The proposed DLPR system adopts Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM)-for classification-based solution. The proposed system implements a two-level LPR, including LP localization and character recognition. For the recognition efficiency of the proposed system, two trained databases for LP localization and character recognition are reduced by the mathematical and feature-based approaches, respectively, and thus the searching time can be saved significantly. To certify the performance of recognizing the degraded LPs, the proposed system is demonstrated by physical degraded LP images, and thus the results reveal that the proposed system overcomes several degraded LP images with reasonable recognition accuracy.
Dynamic CCD camera calibration tor traffic monitoring and vehicle applications
(2007)
Wu, Bing-Fei
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Chen, Wei-Hsin
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Chang, Chai-Wei
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Liu, Chih-Chun
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Chen, Chao-Jung
In this paper, the camera calibration approach based on the perspective model for the tilt angle, pan angle and the height of installation is proposed. Before starting the calibration, the lane information is acquired by applying the Sobel horizontal and vertical edged pixels. The calibration method only utilizes a pair of parallel lane markings without manually selecting special features. The tilt angle, pan angle and camera height are calibrated sequentially in our method. This algorithm can be widely applied in vehicle collision avoidance applications and traffic monitoring systems.
Electrical characterization of bathophenanthroline doped with dipotassium phthalate
(2007)
Hsieh, Ming-Ta
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Chang, Chan-Ching
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Chen, Jenn-Fang
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Ho, Meng-Huan
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Chen, Teng-Ming
Bathophenanthroline (BPhen) doped with dipotassium phthalate (PAK2) was electrically characterized using current-voltage (I-V) and temperature-dependent admittance spectroscopy measurements which demonstrates that the incorporation of PAK2 into BPhen can increase the electron concentration of the BPhen layer resulting in the transformation of the Fermi-level from deep to shallow (around 0.5 eV below LUMO band) and Accordingly, PAK2 is an alternative n-type organic dopant for n-type doping device.
Embedded Weather Adaptive Lane and Vehicle Detection System
(2008)
Wu, Bing-Fei
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Chen, Chao-Jung
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Kao, Chih-Chung
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Chang, Chia-Wei
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Chiu, Shen-Ting
In this paper, the lane and vehicle detection with distance estimation algorithm is proposed by using a CCD camera mounted behind the windshield of our experimental car, TAIWAN iTS-1. The gray level and gradient value are applied for the lane marking detection. The lane marking information is utilized in vehicle detection algorithm. The front vehicles are recognized by comparing the gray level value and Sobel edge pixels. Then, the image coordinate model is utilized for the distance estimation with the located approaching vehicles. The verified effective distance is 50m in front of the host vehicle. This approach has been successfully implemented on the DSP system which is designed by us for the real-time detection. This system will be integrated into the lane departure warning and collision avoidance system with the visual and audio alerts to warn the careless drivers.
GPS TRACKING SYSTEM
(2010-12-23)
WU, BING-FEI
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Chen, Ying-Han
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Chen, Chao-Jung
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Kao, Chih-Chung
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Huang, Po-Chia
The present invention relates a GPS tracking system, comprising a tracking and positioning device, a server, a positioning display unit, and a database. Since the tracking and positioning device only sends an Internet protocol (IP) data and a verification data once when it is connected to the Internet, and sends a positioning data only when a position of the tracking and positioning device is to be shown on the positioning display unit, the bandwidth can be saved.
High-color-temperature p-i-n white organic light-emitting devices based on the fluorescent RGB system
(2007)
Chen, Chao-Jung
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Hwang, Shiao-Wen
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Chen, Chin H.
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光電工程學系
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Department of Photonics
P-i-n devices with 5% Cs doped Men as the n-type transporting layer and WO3 doped NPB as the p-type transporting layer are investigated for controlling the recombination zone (RZ) of carriers in WOLED based on three adjacent fluorescent red, green and blue emitters. Variation in while CIEx,y color-coordinates are closely related to the proportion of deep blue emission which serves as an indicator for the position of the RZ. By optimizing the concentration of the deep blue dopant, it is possible to enhance the color temperature of WOLED and boost the efficiency to 8 cd/A at 5.5 V (20 mA/cm2) with CIEx,y of (0.33, 0.34) which is among the best reported for the fluorescent RGB 3-emission WOLEDs.
High-Efficiency Inverted Transparent Blue Organic Light-Emitting Devices
(2006)
Chen, Szu-Yi
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Chu, Ta-Ya
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Chen, Chao-Jung
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Chen, Jenn-Fang
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Chen, Chin H.
We report efficient inverted transparent blue OLEDs (ITOED) with an hole injection layer prepared by co-evaporation of WO3 with NPB, which achieved a total current efficiency 0 10.7 cd/A at 20 mA/cm(2) with light emits from both ITO bottom cathode and Au top anode in about 3:1 ratio.
Highly efficient and stable inverted bottom-emission organic light emitting devices
(2006-07-31)
Chu, Ta-Ya
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Chen, Jenn-Fang
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Chen, Szu-Yi
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Chen, Chao-Jung
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Chen, Chin H.
The authors report the development of highly efficient and stable C545T doped green fluorescent Alq(3) inverted bottom-emission organic light emitting device (OLED), with a device configuration of ITO/Mg/Cs(2)O:Bphen/Alq(3)/C545T:Alq(3)/NPB/WO(3)/Al, that achieved a maximum current efficiency of 23.7 cd/A and a power efficiency of 12.4 lm/W which are two times better than those of the conventional OLED. At a brightness level of 100 cd/m(2), the device required driving current density only as low as 0.5 mA/cm(2) at a driving voltage of only 5.0 V and its half-lifetime T(1/2) in excess of 104 000 h. (c) 2006 American Institute of Physics.
Intelligent driving assistant systems
(2010-03-17)
Wu, Bing-Fei
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Chen, Chao-Jung
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Peng, Hsin-Yuan
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Chen, Ying-Han
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Lin, Wen-Hsin
The invention discloses an intelligent driving assistant system applied to a handheld device. The invention can detect more than one safety mode including lane departure detection, lost-cargo detection, detecting front-object under driving condition, detecting side-object under driving condition and detecting back-object under driving condition, also the invention can mention alarm according to the detection results from different modules. Finally the invention can store the real-time image according to the detection results from different modules, and then transfer the related information to other places for real-time notice with matching the information from the GPS system and the digitized map.
Method for image processing
(2010-06-24)
Wu, Bing-Fei
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Chen, Chao-Jung
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Kao, Chih-Chung
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Chung, Meng-Liang
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Chiu, Chung-Cheng
The invention relates to a method for image processing. First, establish the initial image background information. And retrieve the instant image information. Then calculate the initial image background information and color intensity information of the instant image. Furthermore, adjust the instant image information. Then calculate the moving-object information. Finally, track the moving-object information. It can improve the accuracy rate of detection without the influence of erected height.
Method for tracking and processing image
(2010-06-24)
Wu, Bing-Fei
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Chen, Chao-Jung
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Kao, Chih-Chung
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Chung, Meng-Liang
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Chiu, Chung-Cheng
The invention relates to a method for image processing, which can be used to calibrate the background quickly. When the external environment is changed due to the switch of light, the color of background is calibrated quickly, and the background can be updated together. The method not only is used to update the background, but also can be used to eliminate the convergence of background again.
Mobile Lane Departure Warning Systems
(2009)
Chen, Chao-Jung
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Wu, Bing-Fei
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Lin, Wen-Hsin
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Kao, Chih-Chun
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Chen, Yi-Han
In this paper, mobile lane departure warning systems (M-LDWS) are addressed. The proposed lane departure warning (LDW) detection algorithm has been successfully implemented on handheld devices with their build-in cameras. The users as long as download LDW program to their own mobile phones and the driving safety service will be enabled. M-LDWS is settled behind the windshield and the driver will be alerted when his car departs from the host lane. M-LDWS detects lane boundaries ahead the host vehicle and estimates the position within the host lane by the captured real-time image. It is qualified to be applied on highways, expressways and urban roadways in Taiwan. It also has been successfully verified in sunny, cloudy and rainy conditions for day and night. M-LDWS will be a novel killer application in consumer devices for driving assistance systems.
Nighttime vehicle detection for driver assistance and autonomous vehicles
(2006)
Chen, Yen-Lin
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Chen, Yuan-Hsin
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Chen, Chao-Jung
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Wu, Bing-Fei
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電控工程研究所
This study presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting and locating vehicle headlights and taillights using techniques of image segmentation and pattern analysis. First, to effectively extract bright objects of interest, a segmentation process based on automatic multilevel thresholding is applied on the grabbed road-scene images. Then the extracted bright objects are processed by a rule-based procedure, to identify the vehicles by locating and analyzing their vehicle light patterns, and estimate their distances to the camera-assisted car. Experimental results demonstrate the effectiveness of the proposed method on detecting vehicles at night.