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公开(公告)号:US20240369369A1
公开(公告)日:2024-11-07
申请号:US18572578
申请日:2021-09-23
Applicant: Intel Corporation
Inventor: Chien Chern Yew , Say Chuan Tan , Yang Peng , Devamekalai Nagasundaram , Florian Geissler , Michael Paulitsch , Ying Wei Liew
Abstract: Disclosed herein are embodiments of systems and methods for accessible vehicles (e.g., accessible autonomous vehicles). In an embodiment, a passenger-assistance system for a vehicle includes first circuitry, second circuitry, third circuitry, and fourth circuitry. The first circuitry is configured to identify an assistance type of a passenger of the vehicle. The second circuitry is configured to control one or more passenger-comfort controls of the vehicle based on the identified assistance type. The third circuitry is configured to generate a modified route for a ride for the passenger at least in part by modifying an initial route for the ride based on the identified assistance type. The fourth circuitry is conduct a pre-ride safety check and/or a pre-exit safety check based on the identified assistance type.
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公开(公告)号:US20200226790A1
公开(公告)日:2020-07-16
申请号:US16832094
申请日:2020-03-27
Applicant: Intel Corporation
Inventor: Ignacio Alvarez , Cornelius Buerkle , Maik Sven Fox , Florian Geissler , Ralf Graefe , Yiwen Guo , Yuqing Hou , Fabian Oboril , Daniel Pohl , Alexander Carl Unnervik , Xiangbin Wu
IPC: G06T7/80 , G01S13/931 , G01S13/86 , G01S17/931 , G01S7/40 , B60R11/04 , G01S7/497
Abstract: A sensor calibrator comprising one or more processors configured to receive sensor data representing a calibration pattern detected by a sensor during a period of relative motion between the sensor and the calibration pattern in which the sensor or the calibration pattern move along a linear path of travel; determine a calibration adjustment from the plurality of images; and send a calibration instruction for calibration of the sensor according to the determined calibration adjustment. Alternatively, a sensor calibration detection device, comprising one or more processors, configured to receive first sensor data detected during movement of a first sensor along a route of travel; determine a difference between the first sensor data and stored second sensor data; and if the difference is outside of a predetermined range, switch from a first operational mode to a second operational mode.
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公开(公告)号:US12082082B2
公开(公告)日:2024-09-03
申请号:US17131161
申请日:2020-12-22
Applicant: Intel Corporation
Inventor: Florian Geissler , Ralf Graefe , Michael Paulitsch , Yang Peng , Rafael Rosales
CPC classification number: H04W4/40 , G06F18/217 , G06N20/00 , G06V20/56 , G06V20/58
Abstract: Described herein is a high confidence ground truth information service executing on a network of edge computing devices. A variety of participating devices obtain high confidence ground truth information relating to objects in a local environment. This information is communicated to the ground truth information service, where it may be verified and aggregated with similar information before being communicated as part of an acquired ground truth dataset to one or more subscribing devices. The subscribing devices use the ground truth information, as included in the ground truth dataset, to both validate and improve their supervised learning systems.
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公开(公告)号:US20210309261A1
公开(公告)日:2021-10-07
申请号:US17352560
申请日:2021-06-21
Applicant: Intel Corporation
Inventor: Rafael Rosales , Ignacio J. Alvarez , Florian Geissler , Neslihan Kose Cihangir , Michael Paulitsch
Abstract: Techniques are disclosed to detect, inform, and automatically correct typical awareness-related human driver mistakes. This may include those that are caused by a misunderstanding of the current situation, a lack of focus or attention, and/or overconfidence in any currently-engaged assistance features. The disclosure is directed to the prediction of vehicle maneuvers using driver and external environment modeling. The consequence of executing a predicted maneuver is categorized based upon its risk or danger posed to the driving environment, and the vehicle may execute various actions based upon the categorization of a predicted riving maneuver to mitigate or eliminate that risk.
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公开(公告)号:US11054265B2
公开(公告)日:2021-07-06
申请号:US16369029
申请日:2019-03-29
Applicant: Intel Corporation
Inventor: Florian Geissler , Ralf Graefe , Michael Paulitsch , Rainer Makowitz
Abstract: Methods, systems, and apparatus, including computer programs encoded on non-transitory computer storage medium(s), are directed to improving completeness of map information and data related to maps created through sensor data. Map completeness can be improved by determining object completeness and coverage completeness of a generated map and reducing amount of unknown areas of the generated map.
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公开(公告)号:US20200249683A1
公开(公告)日:2020-08-06
申请号:US16831957
申请日:2020-03-27
Applicant: Intel Corporation
Inventor: Rafael ROSALES , Florian Geissler , Ignacio Alvarez , Neslihan Kose Cihangir
Abstract: A controller for an autonomous vehicle may include: one or more processors configured to: determine a maneuver planned for the vehicle based on a safety driving model and based on a first message from a network component external to the vehicle, the first message including a respective assessment for each proposed maneuver of at least two maneuvers proposed for the vehicle, and provide an in-vehicle instruction to perform the maneuver planned for the vehicle.
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公开(公告)号:US11947357B2
公开(公告)日:2024-04-02
申请号:US17864461
申请日:2022-07-14
Applicant: Intel Corporation
Inventor: Rafael Rosales , Florian Geissler , Ignacio J. Alvarez , Neslihan Kose Cihangir
CPC classification number: G05D1/0214 , B60W60/0011 , G01C21/3407 , G05D2201/0213
Abstract: A controller for an autonomous vehicle may include: one or more processors configured to: determine a maneuver planned for the vehicle based on a safety driving model and based on a first message from a network component external to the vehicle, the first message including a respective assessment for each proposed maneuver of at least two maneuvers proposed for the vehicle, and provide an in-vehicle instruction to perform the maneuver planned for the vehicle.
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公开(公告)号:US11460847B2
公开(公告)日:2022-10-04
申请号:US16831957
申请日:2020-03-27
Applicant: Intel Corporation
Inventor: Rafael Rosales , Florian Geissler , Ignacio Alvarez , Neslihan Kose Cihangir
Abstract: A controller for an autonomous vehicle may include: one or more processors configured to: determine a maneuver planned for the vehicle based on a safety driving model and based on a first message from a network component external to the vehicle, the first message including a respective assessment for each proposed maneuver of at least two maneuvers proposed for the vehicle, and provide an in-vehicle instruction to perform the maneuver planned for the vehicle.
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公开(公告)号:US20220182793A1
公开(公告)日:2022-06-09
申请号:US17500155
申请日:2021-10-13
Applicant: Intel Corporation
Inventor: Ralf Graefe , Florian Geissler , Rainer Makowitz
Abstract: Systems, methods, and computer-readable media are provided for wireless sensor networks (WSNs), including vehicle-based WSNs. A road side unit (RSU) includes one or more fixed sensors covering different sectors of a designated coverage area. The RSU uses the sensors to capture sensor data that is representative of objects in the coverage area, tracks objects (e.g., vehicles) in the coverage area, and determines regions in the coverage area that are not adequately covered by the sensors (e.g., “perception gaps”). When the RSU identifies an object that is in or at a perception gap, then the RSU sends a request to that object for sensor data captured by the object's on-board sensors. The RSU obtains the sensor data from the object, and uses the obtained sensor data to complement the knowledge that the RSU (i.e., “filling the peception gaps”). Other embodiments are disclosed and/or claimed.
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公开(公告)号:US20190222652A1
公开(公告)日:2019-07-18
申请号:US16368231
申请日:2019-03-28
Applicant: Intel Corporation
Inventor: Ralf Graefe , Florian Geissler
Abstract: Systems, methods, and computer-readable media are provided for wireless sensor networks (WSNs), including sensor deployment mechanisms for road surveillance. Disclosed embodiments are applied to design roadside infrastructure with optimal perception for a given geographic area. The deployment mechanisms account for the presence of static and dynamic obstacles, as well as symmetry aspects of the underlying environment. The deployment mechanisms minimize the number of required sensors to reduce costs and conserve compute and network resources, and extended infrastructure the sensing capabilities of sensor networks. Other embodiments are disclosed and/or claimed.
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