Browsing by Author "Peng, Hsin-Yuan"

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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.
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.
Efficient hierarchical motion estimation algorithm and its VLSI architecture
(2008-10-01)
Wu, Bing-Fei
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Peng, Hsin-Yuan
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Yu, Tung-Lung
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電控工程研究所
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Institute of Electrical and Control Engineering
This paper addresses the development and hardware implementation of an efficient hierarchical motion estimation algorithm, HMEA, using multiresolution frames to reduce the computational complexity. Excellent estimation performance is ensured using an averaging filter to downsample the original image. At the smallest resolution, the least two motion vector candidates are selected using a full-search block matching algorithm. At the middle level, these two candidate motion vectors are employed as the center points for small range local searches. Then, at the original resolution, the final motion vector is obtained by performing a local search around the single candidate from the middle level. HMEA exhibits regular data flow and is suitable for hardware implementation. An efficient VLSI architecture that includes an averaging filter to downsample the image and two 2-D semisystolic processing element arrays to determine the sum of absolute difference in pipeline is also presented. Simulation results indicate that HMEA is more area-efficient and faster than many full-search and multiresolution architectures while maintaining high video quality. This architecture with 59K gates and 1393 bytes of RAM is implemented for a search range of [-16.0, +15.5].
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.
MPEG-2/4 Low-Complexity Advanced Audio Coding Optimization and Implementation on DSP
(2010-05-01)
Wu, Bing-Fei
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Huang, Hao-Yu
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Chen, Yen-Lin
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Peng, Hsin-Yuan
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Huang, Jia-Hsiung
This study presents several optimization approaches for the MPEG-2/4 Audio Advanced Coding (AAC) Low Complexity (LC) encoding and decoding processes. Considering the power consumption and the peripherals required for consumer electronics, this study adopts the TI OMAP5912 platform for portable devices. An important optimization issue for implementing AAC codec on embedded and mobile devices is to reduce computational complexity and memory consumption. Due to power saving issues, most embedded and mobile systems can only provide very limited computational power and memory resources for the coding process. As a result, modifying and simplifying only one or two blocks is insufficient for optimizing the AAC encoder and enabling it to work well on embedded systems. It is therefore necessary to enhance the computational efficiency of other important modules in the encoding algorithm. This study focuses on optimizing the Temporal Noise Shaping (TNS), Mid/Side (M/S) Stereo, Modified Discrete Cosine Transform (MDCT) and Inverse Quantization (IQ) modules in the encoder and decoder. Furthermore, we also propose an efficient memory reduction approach that provides a satisfactory balance between the reduction of memory usage and the expansion of the encoded files. In the proposed design, both the AAC encoder and decoder are built with fixed-point arithmetic operations and implemented on a DSP processor combined with an ARM-core for peripheral controlling. Experimental results demonstrate that the proposed AAC codec is computationally effective, has low memory consumption, and is suitable for low-cost embedded and mobile applications.
The design of an intelligent real-time autonomous vehicle, Taiwan iTS-1
(2007-07-01)
Wu, Bing-Fei
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Chen, Chao-Jung
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Chiang, Hsin-Han
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Peng, Hsin-Yuan
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Perng, Jau-Woei
Developed at National Chiao Tung University, TAIWAN iTS-1 is the first smart car with active safety systems and comfortable autonomous driving in Taiwan. An adaptive vision-based lane detection algorithm was proposed to help the lateral control unit to keep the car in its lane safely. It also carries a DSP system to generate warning, signals for unintentional roadway departures. A laser radar measures the distance between the preceding car and TAIWAN iTS-1. With this information, the longitudinal control unit performs intelligent cruise control and stop-and-go functions. The remote control function is realized on TAIWAN iTS-1 for safety testing and military applications. Unlike most smart car studies, this paper considers not only driving safety demands but also non-driving security. An active mobile surveillance system will inform the car owner when the car is illegally broken into, anytime and anywhere. For drivers and passengers, the perception of comfort is achieved by intelligent vehicle dynamic control. All functions integrated into TAIWAN iTS-1 have been tested repeatedly on National Highway 3 and Expressway 68 in the Hsinchu area and the system's robustness has been successfully demonstrated in these real-road experiments.