Honeywell International Inc.

Perumal Kumar

Sanjay Lenka

Mohammed Ibrahim Mohideen

Shouvik Das

Abhishek Alladi

Aralakuppe Ramegowda Yogesha

Parag Ravindra Rao

Rafeek Sainudeen

Nagaraj Kanapur

A method for detecting spoofing comprises monitoring GNSS satellite signals with a GNSS receiver; obtaining current time, current orbital information values, Doppler shift, and/or dilution of precision from the GNSS receiver, with the current orbital information values comprising orbital position with respect to a current position of the GNSS receiver; retrieving past orbital information values comprising orbital position, and calculating predicted orbital information values based on the past orbital information values, with respect to the current time from the receiver, with the predicted orbital information values comprising orbital position with respect to the current position of the receiver. The method compares the predicted orbital information values, Doppler shift, and/or dilution of precision, with the current orbital information values to obtain discriminator values; determines whether the discriminator values are greater than threshold levels; and outputs a spoofing alert signal when the discriminator values are greater than the threshold levels.

GNSS spoofing threat detection and corrective action

An RF interference database provides RF signal characteristics associated with a plurality of geographical locations. A travel planning system on a vehicle or other processing system can disseminate data including the RF signal characteristics to multiple operating systems on at least one vehicle in a network. Disseminating data can include generating a report sent to the operating system(s), generate threat levels and/or alerts based on the severity of RF interference in the geographical location, provide a system use recommendation on operating parameters and/or alternative operating systems for use in the geographical location. A vehicle can also take ameliorative action, such as modifying a travel path based on data disseminated from the RF interference database and/or conduct integrity checks on the operating systems.

Radio frequency interference database for vehicle navigation planning

Disclosed are methods, systems, and non-transitory computer-readable medium for managing energy use in a vehicle. For instance, the method may include receiving forecasted data from a first external source, receiving real-time data corresponding to at least one weather parameter at a first location at a first time, and continuously determining whether to perform an adjustment to a control parameter of the vehicle by using a machine learning model that is based on the forecasted data for the at least one weather parameter, the real-time data for the at least one weather parameter, a battery condition of the vehicle, and/or an estimated amount of energy consumed by traveling along a first navigation path.

Systems and methods for managing energy use in automated vehicles

A vehicle location accuracy enhancement system is provided. A digital active phased array radar is configured to generate a profiled terrain including terrain altitude information. A controller is configured to implement operating instructions in memory to conduct profile matching between the generated profiled terrain from the at least one digital active phased array radar and terrain altitude profile information in a terrain database to determine profiled location solutions. The controller is further configured to at least augment sensor location solutions from at least one other location determining system, including a GNSS, with the profiled location solutions to enhance accuracy of the sensor location solutions. The controller is also configured to determine location errors in the GNSS based on the profiled location solution and to broadcast the determined location errors.

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Bengaluru, India

Perumal Kumar