-
1.发明申请公开(公告)号：US20210110323A1
公开(公告)日：2021-04-15
申请号：US17131704
申请日：2020-12-22
申请人： Juan Pablo Munoz , Ignacio J. Alvarez , Arvind Merwaday , Satish Chandra Jha , Ned M. Smith , Vesh Raj Sharma Banjade , S M Iftekharul Alam
发明人： Juan Pablo Munoz , Ignacio J. Alvarez , Arvind Merwaday , Satish Chandra Jha , Ned M. Smith , Vesh Raj Sharma Banjade , S M Iftekharul Alam
IPC分类号： G06Q10/06
摘要： A system for managing a fleet of vehicles in a MaaS network includes a scheduling subsystem configured to retrieve vehicle parameters associated with the fleet of vehicles, the vehicle parameters including a range of travel estimate for each of the vehicles in the fleet. The subsystem retrieves infrastructure resource availability information associated with at least one infrastructure resource used by the fleet of vehicles, and historical usage information associated with the at least one infrastructure resource. The subsystem applies a machine learning technique using the vehicle parameters, the infrastructure resource availability information, and the historical usage information to generate a scheduling instruction. The scheduling instruction is communicated to the fleet of vehicles, the scheduling instruction for scheduling usage of the at least one infrastructure resource by one or more of the vehicles in the fleet.
-
公开(公告)号：US20210116261A1
公开(公告)日：2021-04-22
申请号：US17247844
申请日：2020-12-26
申请人： Francesc Guim Bernat , Marcos E. Carranza , Satish Chandra Jha , Sindhu Pandian , Lakshmi Talluru , Cesar Martinez-Spessot , Mateo Guzman , Dario Nicolas Oliver , Ignacio J. Alvarez , David Gonzalez Aguirre , Javier Felip Leon , S M Iftekharul Alam
发明人： Francesc Guim Bernat , Marcos E. Carranza , Satish Chandra Jha , Sindhu Pandian , Lakshmi Talluru , Cesar Martinez-Spessot , Mateo Guzman , Dario Nicolas Oliver , Ignacio J. Alvarez , David Gonzalez Aguirre , Javier Felip Leon , S M Iftekharul Alam
摘要： Disclosed herein are systems and methods for vehicle-occupancy-based and user-preference-based smart routing, and autonomous volumetric-occupancy measurement. In an embodiment, a system is configured to receive from a user device associated with a user, a routing-options request for routing options between two locations, and to responsively identify one or more routing options between the two locations based at least in part on occupancy data for a vehicle that would be utilized for at least a portion of at least one of the identified routing options. The occupancy data is based on an output of an automated occupancy-measurement system onboard the vehicle. The system is also configured to provide the one or more identified routing options to the user device. In some embodiments, the occupancy data is obtained using volumetric-occupancy measurement. Some embodiments relate to volumetric-occupancy measurement conducted by autonomous mesh nodes.
-
公开(公告)号：US20220114805A1
公开(公告)日：2022-04-14
申请号：US17559422
申请日：2021-12-22
IPC分类号： G06V10/774 , G06N3/08 , G06V10/80 , G06V10/32
摘要： The automated driving perception systems described herein provide technical solutions for technical problems facing navigation sensors for autonomous vehicle navigation. These systems may be used to combine inputs from multiple navigation sensors to provide a multimodal perception system. These multimodal perception systems may augment raw data within a development framework to improve performance of object detection, classification, tracking, and sensor fusion under varying external conditions, such as adverse weather and light, as well as possible sensor errors or malfunctions like miss-calibration, noise, and dirty or faulty sensors. This augmentation may include injection of noise, occlusions, and misalignments from raw sensor data, and may include ground-truth labeling to match the augmented data. This augmentation provides improved robustness of the trained perception algorithms against calibration, noise, occlusion, and faults that may exist in real-world scenarios.
-
公开(公告)号：US20220343171A1
公开(公告)日：2022-10-27
申请号：US17855774
申请日：2022-06-30
申请人： Neslihan Kose Cihangir , Omesh Tickoo , Ranganath Krishnan , Ignacio J. Alvarez , Michael Paulitsch , Akash Dhamasia
发明人： Neslihan Kose Cihangir , Omesh Tickoo , Ranganath Krishnan , Ignacio J. Alvarez , Michael Paulitsch , Akash Dhamasia
IPC分类号： G06N3/08
摘要： Methods, apparatus, systems, and articles of manufacture are disclosed that calibrate error aligned uncertainty for regression and continuous structured prediction tasks/optimizations. An example apparatus includes a prediction model, at least one memory, instructions, and processor circuitry to at least one of execute or instantiate the instructions to calculate a count of samples corresponding to an accuracy-certainty classification category, calculate a trainable uncertainty calibration loss value based on the calculated count, calculate a final differentiable loss value based on the trainable uncertainty calibration loss value, and calibrate the prediction model with the final differentiable loss value.
-
公开(公告)号：US20210397858A1
公开(公告)日：2021-12-23
申请号：US17462472
申请日：2021-08-31
申请人： Cornelius Buerkle , Fabian Oboril , Frederik Pasch , Yin Wei Liew , Say Chuan Tan , Chien Chern Yew , Ralf Graefe , Florian Geissler , Ignacio J. Alvarez
发明人： Cornelius Buerkle , Fabian Oboril , Frederik Pasch , Yin Wei Liew , Say Chuan Tan , Chien Chern Yew , Ralf Graefe , Florian Geissler , Ignacio J. Alvarez
摘要： Disclosed herein are systems and methods for detecting and mitigating inappropriate behavior. The systems and methods may include receiving data. Using the data a harassment score and/or classification for a behavior may be determined. Using the harassment score and/or classification, a determination may be made as to when the harassment score and/or classification for the behavior exceeds a threshold. When the threshold is exceeded, a protection system and/or action engine may be activated to mitigate the inappropriate behavior.
-
公开(公告)号：US20210117649A1
公开(公告)日：2021-04-22
申请号：US17247847
申请日：2020-12-26
IPC分类号： G06K9/00
摘要： Disclosed herein are systems and methods for privacy-preserving facemask-compliance-level measurement. In an embodiment, a mask-compliance measurement system includes a processor that is configured to generate, from an image of a person, a facial depth image of a region of a face of the person, and to generate facial wavelet descriptors from the facial depth image. The processor is also configured to determine spectral-density values of the wavelet descriptors, and to analyze the spectral-density values to generate a mask-wearing-compliance result for the person. In an embodiment, the analyzing includes using a classification model that is trained to classify sets of spectral-density values with respect to facemask wearing in images from which the spectral-density values were derived.
-
公开(公告)号：US20200026289A1
公开(公告)日：2020-01-23
申请号：US16586968
申请日：2019-09-28
摘要： Sensor data is accessed, which was generated sensors of a device in an environment. An observation of an event is determined, from the sensor data, that identifies movement of one or more machines within the environment in association with the event, where at least one of the machines is configured to move autonomously. Observation data is generated to describe the observation. The observation data is caused to be stored in a distributed linked data structure.
-
公开(公告)号：US20210108939A1
公开(公告)日：2021-04-15
申请号：US17131427
申请日：2020-12-22
申请人： Nesreen K. Ahmed , Ignacio J. Alvarez , Ravikumar Balakrishnan , Hesham Mostafa , Giuseppe Raffa , Nageen Himayat
发明人： Nesreen K. Ahmed , Ignacio J. Alvarez , Ravikumar Balakrishnan , Hesham Mostafa , Giuseppe Raffa , Nageen Himayat
摘要： Methods, systems, and computer programs are presented for implementing Personalized Mobility as a Service (PMaaS) to improve transportation services delivery. One storage medium includes instructions for detecting, by a mobility as a service (MaaS) system, a request for a trip from a user device of a user. The storage medium further includes instructions for mapping, using a model executing on the machine, the user to a persona from a plurality of persona models. Each persona model has one or more characteristics associated with users of the MaaS system. Further yet, the storage medium includes instructions for determining trip parameters for the trip based on the persona mapped to the user, the trip parameters defining one or more trip segments for the trip, and instructions for providing trip parameters to the user device.
-
公开(公告)号：US20230020169A1
公开(公告)日：2023-01-19
申请号：US17953565
申请日：2022-09-27
IPC分类号： H04L67/12
摘要： System and techniques for trusted lightweight communication in cloud robotics are described herein. A device for trusted lightweight communication in cloud robotics can include a memory having instructions and processing circuitry. When in operation, the processing circuitry can be configured by the instructions to receive a first report from a first device after the first device runs a first algorithm and a second report from a second device after the second device runs the first algorithm with an edge controller. The first algorithm can be stored on a distributed ledger. Consensus between the first device and the second device can be determined by agreement between the first report and the second report. An entry, indicative of consensus between the first device and the second device, can be added to the distributed ledger.
-
10.发明申请公开(公告)号：US20220111870A1
公开(公告)日：2022-04-14
申请号：US17645725
申请日：2021-12-22
IPC分类号： B60W60/00
摘要： Disclosed herein are systems and methods for peer-assisted safety models for autonomous and assisted-driving vehicles. In an embodiment, a safety-model service receives a safety-model request for a safety model from a target vehicle. The safety-model service identifies, responsive to receiving the safety-model request, one or more source vehicles as safety-model input sources. The safety-model service receives safety-model data associated with the identified one or more source vehicles. The safety-model service generates, based on the safety-model request and the received safety-model data, a target-vehicle safety model for the target vehicle. The safety-model service transmits the target-vehicle safety model to the target vehicle for use by the target vehicle.
-
-
-
-
-
-
-
-
-
搜索结果
11 条记录 (耗时 0.037 秒)