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公开(公告)号：US10399492B1
公开(公告)日：2019-09-03
申请号：US15969177
申请日：2018-05-02
Applicant: GM Global Technology Operations LLC
Inventor： Evripidis Paraskevas , Brent N. Bacchus , Yuchen Zhou , Shifang Li , Prakash Mohan Peranandam , Lawrence A. Bush , Donald K. Grimm
Abstract: Technical solutions are described herein for adjusting a notification system of a vehicle. An example method includes receiving, by a controller, an occupant profile of an occupant of the vehicle. The method further includes adjusting, by the controller, a haptic array according to the occupant profile, the haptic array comprising a plurality of haptic actuators, the adjusting comprising activating a first subset of the haptic actuators and deactivating a second subset of the haptic actuators. Further, the method includes providing, by the haptic array, a notification to the occupant of the vehicle by providing a haptic feedback using the activated haptic actuators.
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公开(公告)号：US20230068046A1
公开(公告)日：2023-03-02
申请号：US17410211
申请日：2021-08-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Guangyu J. Zou , Aravindhan Mani , Upali P. Mudalige
Abstract: Systems and methods of detecting a traffic object outside of a vehicle and controlling the vehicle. The systems and methods receive perception data from a sensor system included in the vehicle, determine a focused Region Of Interest (ROI) in the perception data, scale the perception data of the at least one focused ROI, process the scaled perception data of the focused ROI using a neural network (NN)-based traffic object detection algorithm to provide traffic object detection data, and control at least one vehicle feature based, in part, on the traffic object detection data.
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23.发明授权公开(公告)号：US11204417B2
公开(公告)日：2021-12-21
申请号：US16406164
申请日：2019-05-08
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shuqing Zeng , Wei Tong , Upali P. Mudalige , Lawrence A. Bush
IPC: G01S13/86 , G01S13/931 , G06K9/00 , G06K9/62
Abstract: The vehicle mounted perception sensor gathers environment perception data from a scene using first and second heterogeneous (different modality) sensors, at least one of the heterogeneous sensors is directable to a predetermined region of interest. A perception processor receives the environment perception data and performs object recognition to identify objects each with a computed confidence score. The processor assesses the confidence score vis-à-vis a predetermined threshold, and based on that assessment, generates an attention signal to redirect the one of the heterogeneous sensors to a region of interest identified by the other heterogeneous sensor. In this way information from one sensor primes the other sensor to increase accuracy and provide deeper knowledge about the scene and thus do a better job of object tracking in vehicular applications.
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Patent Agency Ranking
公开(公告)号：US20210146896A1
公开(公告)日：2021-05-20
申请号：US16687931
申请日：2019-11-19
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Zachariah E. Tyree , Prabhjot Kaur
Abstract: A control system for a subject vehicle includes an autonomous braking system, a forward monitoring sensor and a rearward monitoring sensor. The controller monitors a first speed of a first vehicle travelling in front of the subject vehicle and a second speed of a second vehicle travelling to the rear of the subject vehicle. A first gap-closing time is determined based upon the speed of the subject vehicle and the first speed of the first vehicle. A second gap-closing time is determined based upon the speed of the subject vehicle and the second speed of the second vehicle. The controller controls the speed of the subject vehicle based upon the first gap-closing time and the second gap-closing time when one of the first gap-closing time or the second gap-closing time is less than a first threshold time.
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公开(公告)号：US20200307561A1
公开(公告)日：2020-10-01
申请号：US16362889
申请日：2019-03-25
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Manpreet S. Bajwa , Shuqing Zeng , Rickie A. Sprague
IPC: B60W30/09 , B60W30/095 , G01S13/93 , G05D1/02 , G06N20/00
Abstract: A risk maneuver assessment system and method to generate a perception of an environment of a vehicle and a behavior decision making model for the vehicle; a sensor system configured to provide the sensor input in the environment for filtering target objects; one or more modules configured to map and track target objects to make a candidate detection from multiple candidate detections of a true candidate detection as the tracked target object; apply a Markov Random Field (MRF) algorithm for recognizing a current situation of the vehicle and predict a risk of executing a planned vehicle maneuver at the true detection of the dynamically tracked target; apply mapping functions to sensed data of the environment for configuring a machine learning model of decision making behavior of the vehicle; and apply adaptive threshold to cells of an occupancy grid for representing an area of tracking of objects within the vehicle environment.
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公开(公告)号：US20200284912A1
公开(公告)日：2020-09-10
申请号：US16296290
申请日：2019-03-08
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Zachariah E. Tyree , Shuqing Zeng , Upali P Mudalige
Abstract: An adaptive sensor control system for a vehicle includes a controller and a steerable sensor system. The controller generates a perception of the vehicle's environment, including providing at least one perception datum and an associated uncertainty factor for different areas within the perception of the environment of the vehicle. The controller also determines one or more relevance factor for the different areas within the perception of the environment. Furthermore, the controller generates control commands for steering the sensor system toward a physical space in the environment as a function of the uncertainty factor and one or more relevance factors. Accordingly, the sensor system obtains updated sensor input for the physical space to update the perception datum and the associated uncertainty factor for the physical space.
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公开(公告)号：US20200149896A1
公开(公告)日：2020-05-14
申请号：US16186021
申请日：2018-11-09
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Michael A. Losh , Brent N. Bacchus , Aravindhan Mani
Abstract: A method for autonomous vehicle map construction includes automatically capturing location data, movement data, and perception data from a vehicle that has traveled down a road, wherein the perception data includes data that identifies the location of lane edges and lane markers for the road, the location of traffic signs associated with the road, and the location of traffic signaling devices for the road. The method further includes pre-processing to associate the captured perception data with the captured location data, captured movement data, and navigation map data; determining, from the pre-processed data, lane boundary data, traffic device and sign location data, and lane level intersection data that connects the intersecting and adjoining lanes identified through the lane boundary data; and storing the lane boundary data, traffic device and sign location data, and lane level intersection data in a map file configured for use by an autonomous vehicle.
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公开(公告)号：US10552695B1
公开(公告)日：2020-02-04
申请号：US16225891
申请日：2018-12-19
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Shihchye A. Lin , Prabhjot Kaur
Abstract: A driver monitoring system for a vehicle and method of operating the driver operating system. The method, in one implementation, involves receiving a plurality of glance aim points for a driver of the vehicle; inputting the plurality of glance aim points into a predictive probability of distraction model to obtain a predictive distraction distribution; determining whether one or more informative glance locations are present in the plurality of glance aim points; comparing the predictive distraction distribution to a predictive distraction distribution threshold when one or more informative glance locations are present in the plurality of glance aim points; and alerting the driver when the predictive distraction distribution satisfies or exceeds the predictive distraction distribution threshold.
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