公开(公告)号：US20220118611A1

公开(公告)日：2022-04-21

申请号：US17561132

申请日：2021-12-23

Applicant: Intel Corporation

Inventor： Florian Geissler ,  Frederik Pasch ,  Cornelius Buerkle ,  Ralf Graefe ,  Fabian Oboril ,  Yang Peng ,  Kay-Ulrich Scholl

IPC: B25J9/16 ,  A62C27/00

Abstract: Techniques are disclosed for the exploration of environments for the estimation and detection of hazards or near hazards within the environment and the mitigation of hazards therein. The exploration of the environment and mitigation of hazards therein may use one or more autonomous agents, including a hazard response robot. The estimation of the hazards may use a policy learning engine, and the hazards may be detected, and the associated risks therefrom, may be determined using a hazard estimation system.

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

IPC: G01C21/34 ,  B60W50/00 ,  G06V20/59 ,  G06V40/16

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.

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

IPC: G06N20/00 ,  G06F18/21 ,  G06V20/56 ,  G06V20/58 ,  H04W4/40

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.