Ying-Han Chen

A vision-based blind spot warning system for daytime and nighttime driver assistance

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.

A Vision-Based Collision Warning System by Surrounding Vehicles Detection

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.

The blind spot warning system for daytime and nighttime

This paper proposes an effective blind spot detection and warning system in the daytime and nighttime condition. In the daytime condition, 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 overcome the nighttime scene, the proposed system extracts the bright objects and recognizes the paired headlights of the targeted vehicles for the BSD. The results of the proposed system are yielded by the practical experiments on the highway in Taiwan at the nighttime and daytime conditions. Experimental results show that the proposed BSD system is feasible and effective for vehicle detection and identification in the daytime and nighttime environments.

An Efficient Web-Based Tracking System through Reduction of Redundant Connections

With the convergence of the Internet and the Global Positioning System (GPS), a common approach called GPS tracking system has been developed nowadays. A GPS tracking system is a system that uses GPS to determine the precise location of a vehicle, person, or other assets and the information can also be shared with remote clients through the Internet. For the device used in the outdoor, it usually connects to the Internet through mobile network like GPRS or 3G. However, the weaknesses of mobile network are low bandwidth and high charging strategies compared to Ethernet or even Wi-Fi. In this paper, an efficient web-based tracking system through reduction of redundant connections is proposed. By integrating several technologies nowadays we design a new connection scheme to improve the efficiency for the location-aware application. The proposed architecture is focus on two problems. One is the redundant connection, causing the waste of bandwidth and fees during the period when connecting to the mobile network. The other is the data asynchronization during the period of transmission. This paper not only provides a new connection scheme to solve above issues, but also has verified this architecture on an embedded platform with a prototype implementation for a web-based tracking system.