Abstract: A prediction system implemented in a host vehicle to predict a merge cut-in for an autonomous vehicle. The system comprises an input unit for capturing neighboring information of the host vehicle, and a processing unit to receive the captured neighboring information and generate a grid map by determining shape and dimensions of a grid, estimate trajectory of each target vehicle of the one or more target vehicles, based on a driver behavior model of each target vehicle, to determine optimized path of each target vehicle, and generate a global maneuver model by analyzing motion of each neighboring target vehicle, wherein on generation of the global maneuver model a merge cut-in threat for the host vehicle is computed by performing centralized risk management and utilizing the predicted trajectory of the one or more target vehicles.

Abstract: An aspect of the present disclosure relates to a system implemented in a host vehicle, comprising: a radar based detection unit, comprising one or more radar sensors, for detecting one or more targets around the host vehicle; a vision based detection unit, comprising one or more image sensors, for detecting one or more targets in the field of view of the host vehicle; and a processing unit to: receive information corresponding to detected one or more targets from each of the radar based detection unit and the vision based detection unit; match each of the one or more targets detected by the radar based detection unit with one or more targets detected by vision based detection unit to identify a target as a matched target; categorize the matched target as a locked target; and track the locked target using information received from the radar based detection unit.

Abstract: The pedestrian tracking system implemented in a host vehicle is disclosed. The system estimates trajectories of the host vehicle and the pedestrian based on factors of position and velocity of the host vehicle and parameters of position and velocity of the pedestrian. The trajectories of the host vehicle and the pedestrian are estimated to estimate a point of intersection of the host vehicle and the pedestrian. Further, the system estimates time to collision based on the estimated point of intersection and determines trajectory of the pedestrian in path of the host vehicle. Furthermore, the system assesses collision risk to select the pedestrian as a target and generates a deceleration actuation command to decelerate the host vehicle based on the selected target, which is provided to an automatic emergency braking (AEB) actuation unit.

Abstract: Systems and methods are described to create a comprehensive model from multiple input data sources in distributed manner for performing diagnostics and/or prognostics of a complex system/platform having its modules/parts implemented independent of each other. In an embodiment, the proposed system for creating a comprehensive connected model of a complex platform includes a input data receive module configured to receive data/content/information from one or more input data sources associated with different modules of the complex platform in a distributed manner, a dependency determination module configured to analyze a plurality of entities/variables retrieved from the data and determine dependency relationships between the plurality of entities by creating a edge list, and a connected model creation module configured to create a comprehensive connected model (connected graph) from the edge list.

Abstract: A system implemented in a vehicle for tracking and mapping of one or more objects to identify free space is disclosed. The system has an input unit having lidar sensors and radar sensors that sense objects in a region surrounding the vehicle, and a processing unit that: receives data from lidar sensors and radar sensors and maps the data in corresponding grid maps of corresponding sensors; tracks objects in regions corresponding to the sensors and performs estimation for objects not sensed by any of the sensors; fuses the grid maps by converting them from sensor frame to vehicle frame to generate a fused grid map; and integrates the fused grid map with any or a combination of track management and scan matching to perform classification of the one or more objects into static objects or dynamic objects and identification of free space in the fused grid map.

Abstract: Aspects of the present disclosure relates to a system and method of validation of automation feature of automobile. The method of validation of an automation feature includes the steps of: assessing the automation feature to be validated; grouping functions of the automation feature into a plurality of functional areas; generating at least one scenario under which the automation feature need to be validated; decomposing the at least one scenario into a plurality of test benches, wherein each of the plurality of test benches are based on at least one functional area of the plurality of functional areas; and quantitatively validating functionality of the automation feature in at least one functional area of the plurality of functional areas.

Abstract: A prediction system implemented in a host vehicle to predict a merge cut-in for an autonomous vehicle. The system comprises an input unit for capturing neighboring information of the host vehicle, and a processing unit to receive the captured neighboring information and generate a grid map by determining shape and dimensions of a grid, estimate trajectory of each target vehicle of the one or more target vehicles, based on a driver behavior model of each target vehicle, to determine optimized path of each target vehicle, and generate a global maneuver model by analyzing motion of each neighboring target vehicle, wherein on generation of the global maneuver model a merge cut-in threat for the host vehicle is computed by performing centralized risk management and utilizing the predicted trajectory of the one or more target vehicles.

Abstract: A detection system implemented in a vehicle to detect free parking space is disclosed. The system comprises an input unit for imaging perspective view around the vehicle and a processing unit to receive a sequence of images from the at least one image sensor and detect at least one polygon pertaining to a parking slot in at least one image of the sequence of images, transform the at least one image into a bird's-eye-view image using a homography matrix, detect at least one quadrilateral pertaining to a parking slot, transform the bird's-eye-view image comprising the at least one quadrilateral, into corresponding image pertaining to perspective view around the vehicle using an inverse homography matrix, to analyse real world co-ordinates of the parking slot, and determine type of the parking slot by computing real world dimensions based on analysis of the real world co-ordinates of the parking slot.

Abstract: The present invention is an induction control system for an autonomous-traveling vehicle that performs traveling and work autonomously while measuring the position of the traveling vehicle by using a satellite positioning system, the induction control system being characterized by, when the autonomous-traveling vehicle is moved backward, setting a virtual antenna position more backward, by a predetermined distance, than the antenna position of the satellite positioning system, and performing a lateral control by using a lateral deviation from a target path at the virtual antenna position. This makes it possible to travel along a pre-designed target path during a forward movement, turning, and a backward movement of the autonomous-traveling vehicle.

Abstract: 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.

Abstract: 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.

Abstract: The present invention provides a method and apparatus for selectively enhancing regions in an image. In one embodiment, a digital image is read from an image source and is converted into a desired image model. One or more regions in the image having intensity values of pixels falling outside a pre-determined optimal intensity range are determined. The one or more regions in the image are then enhanced using a modeled light source of an optimal intensity such that the intensity value of pixels corresponding to the one or more regions in the image fall within the pre-determined optimal intensity range.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for parallelization of sequential computer program code are described. In one embodiment, an automatic parallelization system includes a syntactic analyzer to analyze the structure of the sequential computer program code to identify the positions to insert SPI to the sequential computer code; a profiler for profiling the sequential computer program code by preparing call graph to determine dependency of each line of the sequential computer program code and the time required for the execution of each function of the sequential computer program code; an analyzer to determine parallelizability of the sequential computer program code from the information obtained by analyzing and profiling of the sequential computer program code; and a code generator to insert SPI to the sequential computer program code upon determination of parallelizability to obtain parallel computer program code, which is further outputted to a parallel computing environment for execution and the method thereof.

Abstract: A method of reorganizing a plurality of task for optimization of resources and execution time in an environment is described. In one embodiment, the method includes mapping of each task to obtain qualitative and quantitative assessment of each functional elements and variables within the time frame for execution of each tasks, representation of data obtained from the mapping in terms of a matrix of dimensions N×N, wherein N represents total number of tasks and reorganizing the tasks in accordance with the represented data in the matrix for the execution, wherein reorganizing the tasks provides for both static and dynamic methodologies. It is advantageous that the present invention determines optimal number of resources required to achieve a practical overall task completion time and can be adaptable to non computer applications.