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Proceedings ArticleDOI

Implementation of an Automated Environmental Signal Conditioning Circuit in Automobiles

29 Mar 2018-pp 1802-1805
TL;DR: In this paper, an automated system for the window glass is proposed to close and open based on the amount of the air concentration and purity inside and outside the car, where a trigger is given to the motor which is placed in the door window and the window will come down to let the fresh air come in.
Abstract: N ow days, the world is improving in utilizing technology especially in automation and everything is running with automation. The role of automation in the field of automobiles is increasing day by day. In this paper, an automated system for the window glass is proposed to close and open based on the amount of the air concentration and purity inside and outside the car. When the interior of the car has high amount of CO 2 level along with suspended particulate matter (SPM) and Chlorofluorocarbon's (CFC) which causes suffocation, a trigger is given to the motor which is placed in the door window and the window will come down to let the fresh air come in. There will be an external sensor which is located on the posterior side of the car, so on reaching a polluted area it will be the first sensor to send a trigger signal to the controller. The controller will trigger the motor which will close the window. Another sensor is fixed in the windshield which on detecting the rainfall creates an alert signal to the controller to close all the side windows. Thus, the proposed methodology is basically the integration of rain sensor and chemical sensors working for maintaining human health and comfort automatically to reduce efforts of human and also avoid the risks of accidents in automobiles.
References
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Proceedings ArticleDOI
01 Nov 2016
TL;DR: A new test methodology for rain influence on automotive surround sensors is presented and a rain simulator was designed and validated and applied to radar, lidar and camera sensors in an experimental setup.
Abstract: Automotive safety systems aim to provide maximum protection to vehicle occupants and vulnerable road users. These safety features rely on data from surround sensors such as radar, lidar and camera, which provide detailed information about the environment of the vehicle. A minor error in the measurements of these sensors can lead to major injuries or death. Hence, the reliability and accuracy of these sensor systems is mandatory. The performance of surround sensors depends on their local environment, because of the attenuation of the ambient atmosphere. Environmental influences such as rain additionally affects the accuracy of sensor systems. Therefore, these sensors must be tested under various weather conditions. This paper presents a new test methodology for rain influence on automotive surround sensors. Therefore, a rain simulator was designed and validated. The proposed test methodology was applied to radar, lidar and camera sensors in an experimental setup.

81 citations


"Implementation of an Automated Envi..." refers methods in this paper

  • ...al, [8] suggested a new method for testing influence of rainfall on vehicular surround sensors....

    [...]

Journal ArticleDOI
TL;DR: In this article, the authors used a human test panel for assessing the hedonic impression on a scale from 0 to 5 to detect odor events created within the car cabin, such as smoke, fast-food odour, manure, and bioeffluents.
Abstract: Microelectromechanical-system (MEMS) metal-oxide gas sensors have reached a mature stage, which makes mass market applications in the automotive area possible. In contrast to the already established flap-control system, which controls the access of (combustion) gases from outside the vehicle to the car cabin, the system studied here detects odor events created within the car cabin. The events under study have been cigarette smoke, fast-food odor, manure, and bioeffluents (flatulence). As the reference cannot be a "simple analytical measurement," a human test panel for assessing the hedonic impression on a scale from 0 to 5 is used as reference. The technical system is a MEMS metal-oxide-sensor array consisting of three different sensors. The data-evaluation approach used here is combining the human-sensory data and the MEMS sensor data. The task is performed by the combination of two independent algorithms, where one is related to the normalized conductance and the other to signal variance. Using a combined approach has the advantage that "false" events are suppressed. After the algorithm was successfully transferred onto a microcontroller, real-life data were recorded and classified. Several practical examples are given in this paper. The overall gas-sensor system reaches good accordance with the human-sensory impression, which is represented by air quality levels. This enables the design of a demand-controlled ventilation system

78 citations


"Implementation of an Automated Envi..." refers methods in this paper

  • ...The method in [2] includes the design of a microelectromechanical (MEMS) gas-sensor array for checking the apparent car-cabin air quality....

    [...]

Proceedings ArticleDOI
03 Jun 2009
TL;DR: A novel rain sensing concept based on an automotive in-vehicle camera for Driver Assistance Systems (DAS) is developed to enhance applicability and first experimental experiences show promising results.
Abstract: An intelligent wiper speed adjustment system can be found in most middle and upper class cars. A core piece of this gadget is the rain sensor on the windshield. With the upcoming number of cars being equipped with an in-vehicle camera for vision-based applications the call for integrating all sensors in the area of the rearview mirror into one device rises to reduce the number of parts and variants. In this paper, functionality of standard rain sensors and different vision-based approaches are explained and a novel rain sensing concept based on an automotive in-vehicle camera for Driver Assistance Systems (DAS) is developed to enhance applicability. Hereby, the region at the bottom of the field of view (FOV) of the imager is used to detect raindrops, while the upper part of the image is still usable for other vision-based applications. A simple algorithm is set up to keep the additional processing time low and to quantitatively gather the rain intensity. Mechanisms to avoid false activations of the wipers are introduced. First experimental experiences based on real scenarios show promising results.

53 citations


"Implementation of an Automated Envi..." refers methods in this paper

  • ...In [5], the author developed a rain sensing technique which is based on vision with a vehicular camera located inside the car....

    [...]

Proceedings ArticleDOI
Michael Arndt1, M. Sauer
01 Jan 2004
TL;DR: In this article, the first spectroscopic carbon dioxide sensor designed for automotive applications is presented, which includes a robust infrared gas-detector and a corresponding, newly developed, ASIC.
Abstract: In this paper, we present the first spectroscopic carbon dioxide sensor designed for automotive applications. The sensor is based on the well known infrared measurement principle. It includes a new robust infrared gas-detector and a corresponding, newly developed, ASIC. First application studies show its suitability for automatic vehicle ventilation systems and for leak detection in R744 air conditioning systems.

31 citations

Proceedings ArticleDOI
10 Jun 2012
TL;DR: The Bus Sensor Deployment Problem (BSDP) is formulated to select the bus routes on which sensors are deployed, and Chemical Reaction Optimization (CRO) is used to solve BSDP.
Abstract: Air pollution monitoring is a very popular research topic and many monitoring systems have been developed In this paper, we formulate the Bus Sensor Deployment Problem (BSDP) to select the bus routes on which sensors are deployed, and we use Chemical Reaction Optimization (CRO) to solve BSDP CRO is a recently proposed metaheuristic designed to solve a wide range of optimization problems Using the real world data, namely Hong Kong Island bus route data, we perform a series of simulations and the results show that CRO is capable of solving this optimization problem efficiently

29 citations