公开(公告)号：US20210112388A1

公开(公告)日：2021-04-15

申请号：US17131712

申请日：2020-12-22

申请人： Rafael Rosales ,  Florian Geissler ,  Michael Paulitsch ,  Ralf Graefe ,  Neslihan Kose Cihangir

发明人： Rafael Rosales ,  Florian Geissler ,  Michael Paulitsch ,  Ralf Graefe ,  Neslihan Kose Cihangir

IPC分类号： H04W4/40 ,  H04W24/08 ,  G08G1/0968 ,  G01C21/34

摘要： Disclosed embodiments prioritize gaps in V2X coverage and then selectively route traffic based on the prioritized gaps. Some embodiments combine historical vehicle presence along a route with predicted prospective vehicle traffic along the route to generate a map of regions that have a high confidence of a need for V2X coverage. This high confidence map is compared to a historical V2X coverage in those regions. From this comparison, a set of high priority V2X gaps is identified. Vehicles are then selectively routed either around or into the gaps.

公开(公告)号：US20210107518A1

公开(公告)日：2021-04-15

申请号：US17129770

申请日：2020-12-21

申请人： Florian Geissler ,  Rafael Rosales ,  Neslihan Kose Cihangir ,  Ralf Graefe ,  Syed Qutub ,  Andrea Baldovin ,  Yang Peng ,  Michael Paulitsch

发明人： Florian Geissler ,  Rafael Rosales ,  Neslihan Kose Cihangir ,  Ralf Graefe ,  Syed Qutub ,  Andrea Baldovin ,  Yang Peng ,  Michael Paulitsch

IPC分类号： B60W60/00 ,  G06Q10/06 ,  B60W50/14 ,  B60W40/04

摘要： Disclosure herein are systems and methods for deploying an autonomous vehicle during an idle time. As disclosed herein, a request for a mobility service may be received. The request may include constraints for usage of the autonomous vehicle. An optimal mobility service strategy may be determined based on the constraints. The optimal mobility service strategy may be selected from a plurality of mobility service strategies. A notification may be transmitted to a user device. The notification may include details of the optimal mobility service strategy.

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.