In this paper, we present a vehicle active safety model for vehicle speed control based on driver vigilance detection using low-cost, comfortable, wearable electroencephalographic (EEG) sensors and ...sparse representation. The proposed system consists of three main steps, namely wireless wearable EEG collection, driver vigilance detection, and vehicle speed control strategy. First of all, a homemade low-cost comfortable wearable brain-computer interface (BCI) system with eight channels is designed for collecting the driver's EEG signal. Second, wavelet de-noising and down-sample algorithms are utilized to enhance the quality of EEG data, and Fast Fourier Transformation (FFT) is adopted to extract the EEG power spectrum density (PSD). In this step, sparse representation classification combined with k-singular value decomposition (KSVD) is firstly introduced in PSD to estimate the driver's vigilance level. Finally, a novel safety strategy of vehicle speed control, which controls the electronic throttle opening and automatic braking after driver fatigue detection using the above method, is presented to avoid serious collisions and traffic accidents. The simulation and practical testing results demonstrate the feasibility of the vehicle active safety model.
Customer requirement preference is an important part of customer satisfaction. In view of similar case retrieval technology for existing product level, in the process of solving similar cases, there ...is no consideration for customer requirement preference. This article proposes a similar case solution method considering customer requirement preference. First, we deal with the expression of customer requirements and transform them into operable parameter forms according to the mapping model. Second, the preference graph is used to analyze the customer’s requirement preference, to determine the preference weight, and to weigh the final weight of the requirement node with the initial weight determined by the fuzzy analytic hierarchy process. Finally, the similarity degree solving model of requirement node and product case attribute parameters is established. By integrating the weights of the above-mentioned nodes, the similarity of the product case is obtained, and a more satisfied case of the customer is obtained. Taking the automated guided vehicle car product as an example, the effectiveness of the proposed method is verified.
Environmental perception and information processing are two key steps of active safety for vehicle reversing. Single-sensor environmental perception cannot meet the need for vehicle reversing safety ...due to its low reliability. In this paper, we present a novel multi-sensor environmental perception method using low-rank representation and a particle filter for vehicle reversing safety. The proposed system consists of four main steps, namely multi-sensor environmental perception, information fusion, target recognition and tracking using low-rank representation and a particle filter, and vehicle reversing speed control modules. First of all, the multi-sensor environmental perception module, based on a binocular-camera system and ultrasonic range finders, obtains the distance data for obstacles behind the vehicle when the vehicle is reversing. Secondly, the information fusion algorithm using an adaptive Kalman filter is used to process the data obtained with the multi-sensor environmental perception module, which greatly improves the robustness of the sensors. Then the framework of a particle filter and low-rank representation is used to track the main obstacles. The low-rank representation is used to optimize an objective particle template that has the smallest L-1 norm. Finally, the electronic throttle opening and automatic braking is under control of the proposed vehicle reversing control strategy prior to any potential collisions, making the reversing control safer and more reliable. The final system simulation and practical testing results demonstrate the validity of the proposed multi-sensor environmental perception method using low-rank representation and a particle filter for vehicle reversing safety.
In the status monitoring study of transportation-oriented energy interconnected system, the labor-intensive nature of collecting enough labeled samples tremendously limits the actual applications of ...deep learning-based methods. To address it, a cross-area knowledge learning method with domain-invariant information of system status is proposed in this paper. First, considering the spatial-temporal correlation change of transportation-oriented energy interconnected system, convolutional neural network with global feature enhancement, as feature extraction module, is proposed to extract and separate features of different system status. Second, to improve the learning ability of the proposed model on the condition of unlabeled samples, sample classify module including two classifiers is proposed to make feature extraction module capture the intrinsic similarity features between different systems. Third, for improving the classification accuracy of status monitoring, virtual adversarial training item is added in the loss function of the proposed method to reduce the disturbance influence. The proposed method is evaluated by three different datasets, and ten typical methods are selected for comparison. The comprehensive results demonstrate effectiveness and superiority of the proposed method for status monitoring of transportation-oriented energy interconnected system with unlabeled samples.
The joint module is an essential energy source for cooperative robots. Its dynamic performance has a direct influence on the total control effect. In order to reduce the impact of uncertain factors ...on the dynamic performance of cooperative robots, a robust approximate constraint-following control (RACFC) algorithm based on the Udwadia–Kalaba (U–K) approach is developed in this paper to achieve the trajectory tracking of joint modules, which is a vital part of cooperative robot action. Considering the external interference and uncertainty of system parameters, we design the controller with three parts: the nominal part inhibits any trend to deviate from the constraints; the second part solves the incompatibility problem of initial conditions; and the robust part compensates for the effects of possible uncertainty. Finally, by connecting the joint module of the cooperative robot with the rapid controller prototype CSPACE, simulation and experimental validation with two different friction models are carried out, demonstrating that the designed control can remarkably enhance the system performance of joint modules.
This paper aims to design a tunnel road energy harvesting system, which is applied in the occasions around road tunnels such as the decelerating zones in front of road tunnels or downhill. This paper ...proposes design, modeling and simulation of a novel hydraulic road tunnel energy harvesting system for the purpose of harvesting energy from the road vehicle flows. The main improvement is the novel design of the mechanisms of capturing and storing energy through hydraulic principle and translating the two-way vertical movement of speed bump into one-direction rotation of DC motor. The simulating results proved its validity of proposed energy harvesting system with a high efficiency of 67.6%.
In this paper, a Cruise Control System (CCS) is developed and implemented on an omni-directional steering vehicle which is driven by four in-wheel motors. The omni-directional steering vehicle can ...achieve omni-directional motions such as zero radius turning (ZRT) and later parking (LP). Since this vehicle used 4 in-wheel motors to provide vehicle driving source rather than traditional engine, thus the control of these motors is of great importance. The control scheme is proposed to actualize the precise control of the in-wheel motor. While the cruise control is designed to drive the 4 in-wheel motors to guarantee the normal operation of the whole vehicle. This system was simulated on Matlab/Simulink environment, and the feasibility of this control strategy is well verified.
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