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KPIT Technologies Ltd. | Date: 2015-02-20

The present invention describes a head restraint system for a vehicle. The head restrained system comprises a head restraint cushion connected to headrest rods. The swivel mechanism comprises swivel rods, dampers and springs. The angular movement of the head restraint cushion is controlled by the damper movement on application of load on the head restrained cushion, where the damper movement is based on the amplitude and duration of load being applied on head restrained cushion. Another embodiment of the present invention describes a head restraint system comprising a movable assembly and a stationary assembly. The movable assembly comprises slotted guide plate, flat plate and slotted guide column. The stationary assembly comprises guide rod, and linear guide way. The movable assembly and stationary assembly are connected using a linear damping unit, where the linear damping unit is placed inside the slotted guide column.

FOLSOM, Calif., Feb. 15, 2017 /PRNewswire/ -- KPIT Technologies (BSE: 532400; NSE: KPIT), a global technology company specializing in IT consulting and product engineering, today announced that it has been positioned by Gartner Inc. in the "Challengers" quadrant in the recently publis...

Banthia D.,KPIT Technologies Ltd | Gupta A.,Indian Institute of Information Technology, Design and Manufacturing
CONSEG 2013 - Proceedings of the 7th CSI International Conference on Software Engineering | Year: 2013

Fault-prediction techniques aim to predict fault prone software modules in order to streamline the efforts to be applied in the later phases of software development. Many fault-prediction techniques have been proposed and evaluated for their performance using various performance criteria. However, due to the lack of putting their performances in proper perspective, one significant issue about the viability of these techniques has not been adequately addressed. In this paper, we propose an adaptive cost evaluation framework that incorporates cost drivers for various fault removal phases, and performs a cost-benefit analysis for the misclassification of faults. Accordingly, our study focuses on investigating two important and related research questions regarding the viability of fault prediction. First, for a given project, are the fault prediction results useful? In case of an affirmative answer, then we look for how to choose a faultprediction technique for an overall improved performance in terms of cost-effectiveness. We used the proposed framework to investigate the usefulness of various fault-prediction techniques. The investigation consisted of performance evaluation of five major fault-prediction techniques on nineteen public datasets. Here, we found fault prediction useful for the projects with percentage of faulty modules less than a certain threshold, and there was no single technique that could provide the best results in all cases i.e for all nineteen project datasets. © Computer Society of India, 2013.

Danymol R.,KPIT Technologies Ltd. | Kutty K.,KPIT Technologies Ltd.
SAE Technical Papers | Year: 2015

Camera sensors that are made of silicon photodiodes and used in ordinary digital cameras are sensitive to visible as well as Near-Infrared (NIR) wavelength. However, since the human vision is sensitive only in the visible region, a hot mirror/infrared blocking filter is used in cameras. Certain complimentary attributes of NIR data are, therefore, lost in this process of image acquisition. However, RGB and NIR images are captured entirely in two different spectra/wavelengths; thus they retain different information. Since NIR and RGB images compromise complimentary information, we believe that this can be exploited for extracting better features, localization of objects of interest and in multi-modal fusion. In this paper, an attempt is made to estimate the NIR image from a given optical image. Using a normal optical camera and based on the compressed sensing framework, the NIR data estimation is formulated as an image recovery problem. The NIR data is considered as missing pixel information and its approximation is done during the image recovery phase. Thus, for a given optical image, with NIR data being considered as missing information, the recovered NIR data gives the corresponding NIR image. The motivation behind using compressed sensing for NIR estimation is that, it uses a 'Dictionary Learning Technique' which is capable of retaining a linear relationship between the color image feature values with NIR data. Using this proposed method, we have been able to estimate NIR images directly from optical images with reconstructed PSNR values ranging from 10 to 20.5 dbs. Visual examination of the estimated data also concurs that there is a good match between the estimated and original NIR images. In the automotive domain, the proposed method would help in a myriad of ADAS applications that use optical cameras viz. night time pedestrian detection, collision avoidance, traffic sign recognition etc. Copyright © 2015 SAE International.

Kpit Technologies Ltd. | Date: 2012-07-27

A system for securing embedded software codes having an industrial application from unauthorized access and use is disclosed. The system for code security according to the present invention provides protection for embedded software codes implemented in an automated application. According to the disclosed invention, the code is divided into plurality of segments and parts of the algorithm are distributed and executed in multiple environments, thereby preventing hacking of the code.

Kpit Technologies Ltd. | Date: 2014-09-24

The present invention provides a system and method for augmenting gaming experience for at least one user. The system comprises a vehicle data extraction module and one or more nomadic devices. The vehicle data extraction module is coupled to instrument panel cluster and a body control unit for extracting run-time information of vehicle data and parameters. The one or more nomadic devices is coupled to the vehicle data extraction module for processing the extracted information of vehicle data at run time in order to alter gaming behavior, thereby augmenting the gaming experience.

Kpit Technologies Ltd. | Date: 2015-01-16

The present invention describes a vehicle detection system and method for detecting one or more vehicles in a dynamic varying region of interest, ROI. The system comprises a scene recognition module (101), a road topology estimation module (102), and a vehicle detecting module (103). The scene recognition module is configured for receiving either high exposure image or low exposure image for identifying condition of one or more scenes in a dynamically varying region of interest. The road topology estimation module configured for receiving either high exposure image or low exposure image for determining at least one of a curve, slope and vanishing point of a road in the dynamically varying region of interest. The vehicle detecting module is coupled with the scene recognition module and road topology module for detecting one or more vehicles on the road at night time.

KPIT Technologies Ltd | Date: 2015-01-27

Systems and methods for use in parallelization of computer program code are provided. One method includes determining line dependency data indicating a dependency of a plurality of lines of the sequential computer program code. The method further includes determining time data indicating a time required for the execution of a plurality of functions of the sequential computer program code and determining parallelizability of the sequential computer program code using the line dependency data and the time data. The method further includes generating parallel executable computer program code by inserting program instructions in the sequential computer program code based on the determined parallelizability. The step of generating the parallel executable computer program code includes identifying and routing at least a portion of one or more of the plurality of functions to different processors to achieve parallelization of sequential computer program code using the line data and time dependency data.

KPIT Technologies Ltd | Date: 2015-12-31

A method of providing assistance to an internal combustion engine for a vehicle using an electric motor coupled to the engine is provided. The method comprises predicting a driving range based on historical driving range data. The historical driving range data includes one or more distances that the vehicle was driven during one or more previous driving cycles. The method further comprises selectively operating the motor to provide assistance to the engine at predetermined operating conditions of the engine. The assistance provided to the engine at one or more of the predetermined operating conditions is determined based at least in part on the predicted driving range.

The present invention provides a retrofit system for configuring a vehicle into a hybrid electric vehicle or electric vehicle. The system comprises an electric power source (EPS) comprising one or more motors to provide fail safe torque to the vehicle and harness braking energy for charging one or more batteries, one or more attachable electric power gear assemblies (EPGA) configured to couple the one or more motors to a propeller shaft for providing the torque to the vehicle, and an electronic control unit coupled to the electric power source (EPS) for dynamically controlling functioning of the one or more motors based on the running conditions to drive the vehicle. The system comprises of a motor controller to control functioning of one or more motors. The motor controller actuates one or more motors based on the torque and power required to drive the vehicle.

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