Honeywell International Inc.

Rajesh Chenchu

Amit Srivastav

Lawrence Surace

Nayyar Azam Khan Rao

Vijayshankaran Ramamoorthy Iyer

Phani Ammi Raju Pothula

Don Nicholas

Durga Prasad Dhulipudi

Sujaya Rao

Reshma Seelam

Vinod Prakash Singh

Siva Prasad Kolli

Vipul Gupta

Vijaya Bhaskar Ramisetti

This disclosure is directed to methods, computer program products, and systems for providing surface vehicle tracking data, including indications of potential collision zones, to an airport map display system onboard an aircraft. In one example, a method includes identifying historical navigation route data, aerodrome guidance features, and a predicted path of a first vehicle. The method further includes determining predicted positions along the predicted path and determining predicted positions of a second vehicle and comparing vehicle envelopes for the two vehicles to determine a predicted collision zone of the vehicles.

Collision awareness using historical data for vehicles

A method of monitoring network traffic of a connected vehicle. The method includes receiving network traffic information from a vehicle gateway, the network traffic information including malicious and/or benign information. The method also includes storing the network traffic information on a data server and periodically updating the network traffic information stored on the data server. The method further includes: pre-processing the network traffic information, the pre-processing the network traffic information including filtering and normalizing the network traffic information; generating a learning model based on the pre-processed network traffic information, the learning model being generated by an artificial intelligence learning; updating the learning model based on additional network traffic information, the additional network traffic information including real-time network data; in accordance with the updated learning model, detecting an anomaly event in the incoming network data; and generating a notification and/or blocking one or more packets associated with the incoming network data.

Systems and methods for cyber monitoring and alerting for connected aircraft

Disclosed are systems, methods, and non-transitory computer-readable medium for vehicle collision notification and avoidance. One system may include attaching at least one camera to a vehicle, receiving vehicle information and geographic information regarding the vehicle and at least one other vehicle. The system may also include predicting a next position of the vehicle and the other vehicle, and determine whether the vehicle will collide with the other vehicle based on a comparison of the next position of the vehicle and the next position of the other vehicle. The system may also include generating a graphical representation of the collision of the vehicle and the other vehicle and may transmit the graphic representation to a user device.

Systems and methods for vehicle pushback collision notification and avoidance

A method for validating an operational flight path of an aircraft has been developed. First, a flight path for the aircraft is created using navigation, terrain and obstacle data retrieved from off-line databases. Next, real-time terrain and obstacle update information is captured from flight data sensors on board the aircraft while in flight. Also, light direction and range (LIDAR) data from LIDAR sensors on board the aircraft is collected. A boundary profile is calculated for the flight path based upon the real-time terrain and obstacle update information in combination with the LIDAR data. The flight path is validated using the boundary profile. The results of the validation of the flight path is generated as a report for the aircraft crew.

Method and system for real-time validation of an operational flight path for an aircraft

Growing community of inventors

Andhra Pradesh, India

Rajesh Chenchu