公开(公告)号：US20240046790A1

公开(公告)日：2024-02-08

申请号：US18254423

申请日：2020-11-26

Applicant: ZENUITY AB

Inventor： Magnus GYLLENHAMMAR ,  Carl ZANDÉN ,  Majid KHORSAND VAKILZADEH

IPC: G08G1/0968 ,  B60W60/00

CPC classification number: G08G1/096811 ,  B60W60/001 ,  G06V20/56

Abstract: The present disclosure relates to a method for augmenting capabilities of an Automated Driving System (ADS) of a vehicle. The method includes locally processing, by means of a perception module of the ADS, sensor data obtained from one or more sensors of the vehicle in order to generate a local world-view of the ADS. The sensor data is associated with a time period and includes information about a surrounding environment of the vehicle during the time period. The method further includes generating a local candidate path to be executed by the ADS based on the generated local world-view of the ADS, and transmitting a first set of data to a remote system. The first set of data is associated with the time period and including information about the surrounding environment of the vehicle during the time period.

公开(公告)号：US20220161816A1

公开(公告)日：2022-05-26

申请号：US17530616

申请日：2021-11-19

Applicant: Zenuity AB

Inventor： Magnus GYLLENHAMMAR ,  Carl ZANDÉN ,  Majid KHORSAND VAKILZADEH

IPC: B60W60/00 ,  G06K9/62 ,  G08G1/00 ,  G06N20/00

Abstract: Various methods for managing and/or monitoring new experiences of an Automated Driving System, ADS, of a vehicle are disclosed. In one example, an ADS experience library is used as training data for an autoencoder on-board the vehicle. A data stream representing driving experiences encountered by the vehicle as it is being driven around is suitably segmented and passed through the autoencoder. The output of the autoencoder exaggerates the reconstruction error for any data in a data segment not included in the training data set. This enables anomalous behavioural data indicative of a new experience encountered by a vehicle when it is being driven around to be identified in the data stream passed through the autoencoder, making it possible to send just the anomalous behavioural data to a back-end fleet server configured to monitor and manage a fleet of vehicles in a timely and bandwidth efficient manner.

公开(公告)号：US20220089153A1

公开(公告)日：2022-03-24

申请号：US17477943

申请日：2021-09-17

Applicant: ZENUITY AB

Inventor： Magnus GYLLENHAMMAR ,  Håkan SIVENCRONA

IPC: B60W30/095 ,  B60W60/00 ,  B60W40/04 ,  G06K9/00

Abstract: A method for identifying scenarios of interest for development, verification and/or validation of an ADS of vehicle. Obtaining risk map of surrounding environment of vehicle, risk map is formed based on actuation capability of vehicle and location of free-space areas in surrounding environment. The actuation capability comprises uncertainty estimation for actuation capability and location of free-space areas comprises uncertainty estimation for estimated location of free-space areas. Risk map includes risk parameter for each of a plurality of area segments comprised in surrounding environment of vehicle. Determining compounded risk value of ADS based on risk parameters of a set of area segments of risk map. Monitoring scenario trigger by monitoring at least one of determined compounded risk value against compounded risk trigger threshold, a development of risk map over time against a map volatility trigger threshold, and a development of compounded risk value over time against a risk volatility threshold.