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Real-time head pose recognition is an important function of Advanced Driver Assistance System that need to consider the driver's intention. The majority of early head pose recognition techniques utilize multi-axis sensors or 2D camera images to estimate the head pose in 3D space. When running the head pose recognition systems, the driver has to carry a device with multi-axis sensors or the system...
This study proposes a symmetry-based forward vehicle detection and collision warning system (FCW) on smartphone. The proposed system identifies forward vehicle by shadow with vehicular symmetry. Through Bayes classifier tracking approach, it can reduce the error detection of image processing. Shadow detection with symmetry-based approach could improve the robustness of identifying forward vehicle...
This study proposes an adaptive Lane Departure Warning system (LDW) on smartphone, to deal with flexible warning capability for different road environment and driver behavior. The proposed system is migrated the preliminary developed LDW algorithm and utilizing mobile camera built-in Android smartphone to capture images of road environment. Through "Java Call C" approach, the LDW kernel...
Based on the lane marking tracking, this study presents a robust tracking approach for vision-based forward vehicle detection. Following vanishing point of lane which is according to lane detection point and linear regression analysis, five scan lines created as region of interest (ROI) for tracking is adopted to reduce the computational cost in detection process. The proposed algorithm implemented...
This study presents an effective vehicle detection and tracking approach to deal with forward collision warning (FCW) system. Based on robust lane-marking tracking and vanishing point, a regions of interest (ROI) is created for detecting whether vehicle in the front. The proposed method is implemented in TI DM648 DSP embedded system, and get very good result in the highway. In particular, when the...
A fast lane departure warning system which realized in embedded system is presented in this paper. Based on small process area of image and Nearest Near Peak (NNP), the lane-marking detection and tracking process can extract lane-marking pattern fast. Further, the dynamic vanishing point is employed to fine-tuning both of sides for lane-marking results. Finally, the departure alarm is active when...
Based on lane-marking tracking with fuzzy adjustable vanishing point mechanism, this paper presents robustness forward vehicle detection system. Compared to most of the detection systems with a large curvature of road trend, which are not effective for the routes to detection and marking. Therefore, follow the current image frame, the proposed system calculate the error between lane detection point...
This paper focuses on vehicle warning system based on fuzzy decision making for lane departure and forward collision avoidance for dealing with driver assistant system. The proposed system is composed of vision-based preprocessing and a fuzzy decision making. The objective of vision-based preprocessing part is lane tracking and forward vehicle detection, and provides the necessary information for...
Hydraulic power steering systems, which can provide large steering assist force, are widely used for heavy-duty commercial vehicles to enhance the driving comfort. Such systems have great influences on vehicle controllability, steering stability and safety. However, interpolated table from experiment data was used as the assist force to study the vehicle dynamics in many previous works, so the transient...
With the rapid development of electronic commerce and logistics distribution, multi-depot vehicle routing problem with backhauls (MDVRPB) as influencing electronic commerce more step development, has been paid more attentions. According to the characteristics of model, hybrid heuristic algorithm is used to get the optimization solution. First of all, use hybrid coding so as to simplify the problem;...
This paper implements an embedded multi-core DSP system for vehicle vision-based lane-marking tracking. A fast algorithm based on Kalman filter and boundary detection is proposed in this system. The developed system can reduce the complexity of vision data processing and meet the real-time requirements.
The purpose of this paper is to develop particle swarm optimizer (PSO) based controller for vehicle navigation system (VNS). This paper regards the mathematical model of car-like mobile robot as the vehicle dynamics behavior to develop the controller for VNS. VNS controls the vehicle via two actual control values, one is the degree variation of the front wheel and the other is the acceleration variation...
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