Patents by Inventor Srikar MUPPIRISETTY
Srikar MUPPIRISETTY has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11884279Abstract: Vehicle alert and control systems and methods taking into account a detected road friction at a following vehicle and a predicted road friction by the following vehicle. The detected road friction between the following vehicle tires and the road surface may be assessed using a variety of methodologies and is used to compute a critical safety distance between the following vehicle and the preceding vehicle and a critical safety speed of the following vehicle. The predicted road friction ahead of the following vehicle may also be assessed using a variety of methodologies (lidar, camera, and cloud-based examples are provided) and is used to compute a warning safety distance between the following vehicle and the preceding vehicle and a warning safety speed of the following vehicle. These functionalities may be applied to vehicle/stationary object warning and response scenarios as well.Type: GrantFiled: March 17, 2023Date of Patent: January 30, 2024Assignee: Volvo Car CorporationInventors: Saurabh Gawande, Srikar Muppirisetty, Sohini Roy Chowdhury, Minming Zhao
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Patent number: 11810364Abstract: A vehicle safety system and technique are described. In one example, a vehicle safety system communicably coupled to a vehicle, comprises processing circuitry coupled to a camera unit and a LiDAR sensor, the processing circuitry to execute logic operative to analyze an image captured by one or more cameras to identify predicted regions of road damage, correlate LiDAR sensor data with the predicted regions of road damage, analyze the LiDAR sensor data correlated with the predicted regions of road damage to identify regions of road damage in three-dimensional space; and output one or more indications of the identified regions of road damage, wherein the processing circuitry is coupled to an interface to the vehicle, the processing circuitry to output an identification of road damage.Type: GrantFiled: August 10, 2020Date of Patent: November 7, 2023Assignee: Volvo Car CorporationInventors: Sohini RoyChowdhury, Leela Srikar Muppirisetty, Roman Aleksandrovich Akulshin
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Patent number: 11781882Abstract: A system and method for utilizing aggregated weather data (AWD) for deriving road surface condition (RSC) estimates. This system and method supplements road friction estimates (RFEs) made at the vehicle level with AWD in the cloud to form the RSC estimates, which are then transmitted to the vehicles such that more accurate RFEs can be made locally, and so on. Conventional RFE physics-based models are replaced with enhanced RFE trained machine learning (ML) models accordingly. Global RSC estimates are derived for each geographical region using weather and location constraints. Thus, improved autonomous driving and driver assist functions may be implemented, better driver warnings may be provided, and safer road trips may be planned in advance based on a thorough analysis of the drivable conditions.Type: GrantFiled: October 26, 2020Date of Patent: October 10, 2023Assignee: Volvo Car CorporationInventors: Sohini Roy Chowdhury, Srikar Muppirisetty, Niklas Ohlsson, Minming Zhao, Mats Jonasson
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Publication number: 20230219577Abstract: Vehicle alert and control systems and methods taking into account a detected road friction at a following vehicle and a predicted road friction by the following vehicle. The detected road friction between the following vehicle tires and the road surface may be assessed using a variety of methodologies and is used to compute a critical safety distance between the following vehicle and the preceding vehicle and a critical safety speed of the following vehicle. The predicted road friction ahead of the following vehicle may also be assessed using a variety of methodologies (lidar, camera, and cloud-based examples are provided) and is used to compute a warning safety distance between the following vehicle and the preceding vehicle and a warning safety speed of the following vehicle. These functionalities may be applied to vehicle/stationary object warning and response scenarios as well.Type: ApplicationFiled: March 17, 2023Publication date: July 13, 2023Inventors: Saurabh GAWANDE, Srikar MUPPIRISETTY, Sohini ROY CHOWDHURY, Minming ZHAO
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Patent number: 11628844Abstract: Vehicle alert and control systems and methods taking into account a detected road friction at a following vehicle and a predicted road friction by the following vehicle. The detected road friction between the following vehicle tires and the road surface may be assessed using a variety of methodologies and is used to compute a critical safety distance between the following vehicle and the preceding vehicle and a critical safety speed of the following vehicle. The predicted road friction ahead of the following vehicle may also be assessed using a variety of methodologies (lidar, camera, and cloud-based examples are provided) and is used to compute a warning safety distance between the following vehicle and the preceding vehicle and a warning safety speed of the following vehicle. These functionalities may be applied to vehicle/stationary object warning and response scenarios as well.Type: GrantFiled: September 15, 2021Date of Patent: April 18, 2023Assignee: Volvo Car CorporationInventors: Saurabh Gawande, Srikar Muppirisetty, Sohini Roy Chowdhury, Minming Zhao
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Patent number: 11592566Abstract: A system and method for estimating road conditions ahead of a vehicle, including: a LIDAR sensor operable for generating a LIDAR point cloud; a processor executing a road condition estimation algorithm stored in a memory, the road condition estimation algorithm performing the steps including: detecting a ground plane or drivable surface in the LIDAR point cloud; superimposing an M×N matrix on at least a portion of the LIDAR point cloud; for each patch of the LIDAR point cloud defined by the M×N matrix, statistically evaluating a relative position, a feature elevation, and a scaled reflectance index; and, from the statistically evaluated relative position, feature elevation, and scaled reflectance index, determining a slipperiness probability for each patch of the LIDAR point cloud; and a vehicle control system operable for, based on the determined slipperiness probability for each patch of the LIDAR point cloud, affecting an operation of the vehicle.Type: GrantFiled: August 15, 2019Date of Patent: February 28, 2023Assignee: Volvo Car CorporationInventors: Sohini Roy Chowdhury, Minming Zhao, Srikar Muppirisetty
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Publication number: 20220410876Abstract: Systems, devices, computer-implemented methods, and/or computer program products that facilitate dynamic curve speed control adaptive to road conditions. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components can comprise a curvature component, a road condition component, and a safety component. The curvature component can generate composite curvature data for a curve of a road preceding a vehicle using digital map data and lane marker data. The road condition component can generate friction data for a surface of the road using sensor data obtained from an on-board sensor of the vehicle. The safety component can determine a safe operational profile for traversing the curve using the composite curvature data and the friction data.Type: ApplicationFiled: June 28, 2021Publication date: December 29, 2022Inventors: Daniel Gunnarsson, Leela Srikar Muppirisetty, Saurabh Gawande
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Publication number: 20220044034Abstract: A vehicle safety system and technique are described. In one example, a vehicle safety system communicably coupled to a vehicle, comprises processing circuitry coupled to a camera unit and a LiDAR sensor, the processing circuitry to execute logic operative to analyze an image captured by one or more cameras to identify predicted regions of road damage, correlate LiDAR sensor data with the predicted regions of road damage, analyze the LiDAR sensor data correlated with the predicted regions of road damage to identify regions of road damage in three-dimensional space; and output one or more indications of the identified regions of road damage, wherein the processing circuitry is coupled to an interface to the vehicle, the processing circuitry to output an identification of road damage.Type: ApplicationFiled: August 10, 2020Publication date: February 10, 2022Inventors: Sohini RoyChowdhury, Leela Srikar Muppirisetty, Roman Aleksandrovich Akulshin
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Publication number: 20220001873Abstract: Vehicle alert and control systems and methods taking into account a detected road friction at a following vehicle and a predicted road friction by the following vehicle. The detected road friction between the following vehicle tires and the road surface may be assessed using a variety of methodologies and is used to compute a critical safety distance between the following vehicle and the preceding vehicle and a critical safety speed of the following vehicle. The predicted road friction ahead of the following vehicle may also be assessed using a variety of methodologies (lidar, camera, and cloud-based examples are provided) and is used to compute a warning safety distance between the following vehicle and the preceding vehicle and a warning safety speed of the following vehicle. These functionalities may be applied to vehicle/stationary object warning and response scenarios as well.Type: ApplicationFiled: September 15, 2021Publication date: January 6, 2022Inventors: Saurabh GAWANDE, Srikar MUPPIRISETTY, Sohini ROY CHOWDHURY, Minming ZHAO
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Patent number: 11205095Abstract: Methods and systems for generating annotated data for training vehicular driver assist (DA) and autonomous driving (AD) active safety (AS) functionalities and the like. More specifically, methods and systems for the fast estimation of three-dimensional (3-D) bounding boxes and drivable surfaces using LIDAR point clouds and the like. These methods and systems provide fast and accurate annotation cluster pre-proposals on a minimally-supervised or unsupervised basis, segment drivable surfaces/ground planes in a bird's-eye-view (BEV) construct, and provide fast and accurate annotation cluster pre-proposal labels based on the feature-based detection of similar objects in already-annotated frames. The methods and systems minimize the expertise, time, and expense associated with the manual annotation of LIDAR point clouds and the like in the generation of annotated data for training machine learning (ML) algorithms and the like.Type: GrantFiled: December 1, 2020Date of Patent: December 21, 2021Assignee: Volvo Car CorporationInventors: Sohini Roy Chowdhury, Srikar Muppirisetty
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Patent number: 11198442Abstract: A method for estimating a tire property of a vehicle based on tire-to-road friction properties for a fleet of vehicles. The method includes: determining a tire-to-road friction for a plurality of vehicles, belonging to the fleet of vehicles, at a plurality of specified locations; determining a reference tire-to-road friction for the fleet of vehicles at each specified location; in a vehicle, determining a current tire-to-road friction at a first location being one of the specified locations; determining a difference between the current tire-to-road friction and the reference tire-to-road friction of the fleet for the first location; and estimating a tire property of the vehicle based on the determined difference. There is also provided a system configured to perform the described method.Type: GrantFiled: May 23, 2019Date of Patent: December 14, 2021Assignee: Volvo Car CorporationInventors: Mats Jonasson, Niklas Ohlsson, Srikar Muppirisetty, Sohini Roy Chowdhury, Minming Zhao
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Patent number: 11145067Abstract: Methods and systems for providing fast semantic proposals for image and video annotation including: extracting image planes from an input image; linearizing each of the image planes to generate a one-dimensional array to extract an input feature vector per image pixel for the image planes; abstracting features for a region of interest using a modified echo state network model, wherein a reservoir increases feature dimensions per pixel location to multiple dimensions followed by feature reduction to one dimension per pixel location, wherein the echo state network model includes both spatial and temporal state factors for reservoir nodes associated with each pixel vector, and wherein the echo state network model outputs a probability image; post-processing the probability image to form a segmented binary image mask; and applying the segmented binary image mask to the input image to segment the region of interest and form a semantic proposal image.Type: GrantFiled: May 26, 2020Date of Patent: October 12, 2021Assignee: Volvo Car CorporationInventors: Sohini Roy Chowdhury, Srikar Muppirisetty
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Patent number: 11124193Abstract: Vehicle alert and control systems and methods taking into account a detected road friction at a following vehicle and a predicted road friction by the following vehicle. The detected road friction between the following vehicle tires and the road surface may be assessed using a variety of methodologies and is used to compute a critical safety distance between the following vehicle and the preceding vehicle and a critical safety speed of the following vehicle. The predicted road friction ahead of the following vehicle may also be assessed using a variety of methodologies (lidar, camera, and cloud-based examples are provided) and is used to compute a warning safety distance between the following vehicle and the preceding vehicle and a warning safety speed of the following vehicle. These functionalities may be applied to vehicle/stationary object warning and response scenarios as well.Type: GrantFiled: December 27, 2019Date of Patent: September 21, 2021Assignee: Volvo Car CorporationInventors: Saurabh Gawande, Srikar Muppirisetty, Sohini Roy Chowdhury, Minming Zhao
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Publication number: 20210081714Abstract: The present disclosure relates to methods and systems for generating annotated data for training vehicular driver assist (DA) and autonomous driving (AD) active safety (AS) functionalities and the like. More specifically, the present disclosure relates to methods and systems for the fast estimation of three-dimensional (3-D) bounding boxes and drivable surfaces using LIDAR point clouds and the like. These methods and systems provide fast and accurate annotation cluster pre-proposals on a minimally-supervised or unsupervised basis, segment drivable surfaces/ground planes in a bird's-eye-view (BEV) construct, and provide fast and accurate annotation cluster pre-proposal labels based on the feature-based detection of similar objects in already-annotated frames. The methods and systems minimize the expertise, time, and expense associated with the manual annotation of LIDAR point clouds and the like in the generation of annotated data for training machine learning (ML) algorithms and the like.Type: ApplicationFiled: December 1, 2020Publication date: March 18, 2021Inventors: Sohini Roy Chowdhury, Srikar Muppirisetty
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Publication number: 20210048529Abstract: A system and method for estimating road conditions ahead of a vehicle, including: a LIDAR sensor operable for generating a LIDAR point cloud; a processor executing a road condition estimation algorithm stored in a memory, the road condition estimation algorithm performing the steps including: detecting a ground plane or drivable surface in the LIDAR point cloud; superimposing an M×N matrix on at least a portion of the LIDAR point cloud; for each patch of the LIDAR point cloud defined by the M×N matrix, statistically evaluating a relative position, a feature elevation, and a scaled reflectance index; and, from the statistically evaluated relative position, feature elevation, and scaled reflectance index, determining a slipperiness probability for each patch of the LIDAR point cloud; and a vehicle control system operable for, based on the determined slipperiness probability for each patch of the LIDAR point cloud, affecting an operation of the vehicle.Type: ApplicationFiled: August 15, 2019Publication date: February 18, 2021Inventors: Sohini ROY CHOWDHURY, Minming ZHAO, Srikar MUPPIRISETTY
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Publication number: 20210041261Abstract: A system and method for utilizing aggregated weather data (AWD) for deriving road surface condition (RSC) estimates. This system and method supplements road friction estimates (RFEs) made at the vehicle level with AWD in the cloud to form the RSC estimates, which are then transmitted to the vehicles such that more accurate RFEs can be made locally, and so on. Conventional RFE physics-based models are replaced with enhanced RFE trained machine learning (ML) models accordingly. Global RSC estimates are derived for each geographical region using weather and location constraints. Thus, improved autonomous driving and driver assist functions may be implemented, better driver warnings may be provided, and safer road trips may be planned in advance based on a thorough analysis of the drivable conditions.Type: ApplicationFiled: October 26, 2020Publication date: February 11, 2021Inventors: Sohini ROY CHOWDHURY, Srikar MUPPIRISETTY, Niklas OHLSSON, Minming ZHAO, Mats JONASSON
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Patent number: 10872269Abstract: The present invention relates to methods and systems for generating annotated data for training vehicular driver assist (DA) and autonomous driving (AD) active safety (AS) functionalities and the like. More specifically, the present invention relates to methods and systems for the fast estimation of three-dimensional (3-D) bounding boxes and drivable surfaces using LIDAR point clouds and the like. These methods and systems provide fast and accurate annotation cluster pre-proposals on a minimally-supervised or unsupervised basis, segment drivable surfaces/ground planes in a bird's-eye-view (BEV) construct, and provide fast and accurate annotation cluster pre-proposal labels based on the feature-based detection of similar objects in already-annotated frames. The methods and systems minimize the expertise, time, and expense associated with the manual annotation of LIDAR point clouds and the like in the generation of annotated data for training machine learning (ML) algorithms and the like.Type: GrantFiled: October 26, 2018Date of Patent: December 22, 2020Assignee: Volvo Car CorporationInventors: Sohini Roy Chowdhury, Srikar Muppirisetty
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Patent number: 10837793Abstract: A system and method for utilizing aggregated weather data (AWD) for deriving road surface condition (RSC) estimates. This system and method supplements road friction estimates (RFEs) made at the vehicle level with AWD in the cloud to form the RSC estimates, which are then transmitted to the vehicles such that more accurate RFEs can be made locally, and so on. Conventional RFE physics-based models are replaced with enhanced RFE trained machine learning (ML) models accordingly. Global RSC estimates are derived for each geographical region using weather and location constraints. Thus, improved autonomous driving and driver assist functions may be implemented, better driver warnings may be provided, and safer road trips may be planned in advance based on a thorough analysis of the drivable conditions.Type: GrantFiled: June 12, 2018Date of Patent: November 17, 2020Assignee: Volvo Car CorporationInventors: Sohini Roy Chowdhury, Srikar Muppirisetty, Niklas Ohlsson, Minming Zhao, Mats Jonasson
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Publication number: 20200286241Abstract: Methods and systems for providing fast semantic proposals for image and video annotation including: extracting image planes from an input image; linearizing each of the image planes to generate a one-dimensional array to extract an input feature vector per image pixel for the image planes; abstracting features for a region of interest using a modified echo state network model, wherein a reservoir increases feature dimensions per pixel location to multiple dimensions followed by feature reduction to one dimension per pixel location, wherein the echo state network model includes both spatial and temporal state factors for reservoir nodes associated with each pixel vector, and wherein the echo state network model outputs a probability image; post-processing the probability image to form a segmented binary image mask; and applying the segmented binary image mask to the input image to segment the region of interest and form a semantic proposal image.Type: ApplicationFiled: May 26, 2020Publication date: September 10, 2020Inventors: Sohini ROY CHOWDHURY, Srikar MUPPIRISETTY
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Patent number: 10706557Abstract: Methods and systems for providing fast semantic proposals for image and video annotation including: extracting image planes from an input image; linearizing each of the image planes to generate a one-dimensional array to extract an input feature vector per image pixel for the image planes; abstracting features for a region of interest using a modified echo state network model, wherein a reservoir increases feature dimensions per pixel location to multiple dimensions followed by feature reduction to one dimension per pixel location, wherein the echo state network model includes both spatial and temporal state factors for reservoir nodes associated with each pixel vector, and wherein the echo state network model outputs a probability image; post-processing the probability image to form a segmented binary image mask; and applying the segmented binary image mask to the input image to segment the region of interest and form a semantic proposal image.Type: GrantFiled: September 7, 2018Date of Patent: July 7, 2020Assignee: Volvo Car CorporationInventors: Sohini Roy Chowdhury, Srikar Muppirisetty