Hrl Laboratories, LLC

The Boeing Company

Gm Global Technolgoy Operations, Inc.

Gavin D Holland

Karim El Defrawy

Michael D Howard

David L Allen

Tsai-Ching Lu

Michael J Daily

Aleksey Nogin

Heiko Hoffmann

Rajan Bhattacharyya

Hankyu Moon

Hyukseong Kwon

Chong Ding

Fan Bai

Kang-Yu Ni

Hariharan Krishnan

Joshua W Baron

Amit Agarwal

Kirill Minkovich

Matthew S Keegan

Michael A Warren

Eric P Tressler

Rodolfo Valiente Romero

A method for performing object detection during autonomous driving includes: performing 3D object detection in a 3D object detection segment; uploading an output of multiple sensors in communication with the 3D object detection segment to multiple point clouds; transferring point cloud data from the multiple point clouds to a Region Proposal Network (RPN); independently performing 2D object detection in a 2D object detector in parallel with the 3D object detection in the 3D object detection segment; and taking a given input image and simultaneously learning box coordinates and class label probabilities in a 2D object detection network operating to treat object detection as a regression problem.

3D object detection method using synergy of heterogeneous sensors for autonomous driving

A method using unsupervised velocity prediction and correction for urban driving from sequences of noisy position estimates includes: performing a vehicle velocity prediction for one or more other vehicles in a vicinity of a host automobile vehicle; calculating a first heuristic based on a uniformity test; calculating a second heuristic based on a vehicle speed of the one or more other vehicles; combining the first heuristic and the second heuristic using a weighted sum; determining an uncertainty mask applying the combined first heuristic and the second heuristic and a heuristic threshold; and applying the uncertainty mask to identify a velocity correction for use by the host automobile vehicle.

Unsupervised velocity prediction and correction for urban driving entities from sequence of noisy position estimates

Described is a high-assurance network gateway generator that generates and encodes network gateway code on a computer readable medium. In operation, the network gateway generator receives input artifacts, which are translated into corresponding formats as translated data. The translated data is distributed to an OS code generator, a glue code generator, and a communications code generator. The OS code generator then generates OS code based on the translated data. The communications code generator proceeds to generate deserialization and filtering code based on the translated data. Further, a glue code generator generates glue code based on the OS code and translated data. An executable network gateway code is then generated by combining the glue code, deserialization code, and filtering code. Finally, the executable network gateway code is then encoded on a computer readable medium.

High-assurance network gateway generators

Described is a system for detecting attacks on mobile networks. The system includes the relevant hardware and components to perform a variety of operations including continuously measuring time-varying signals at each node in a network. The system determines network flux on the time-varying signals of all nodes in the network and detects a network attack if the network flux exceeds a predetermined threshold. Further, a reactive protocol is initiated if the network flux exceeds the predetermined threshold.

System and method for detecting attacks on mobile ad hoc networks based on network flux

Described is a process for secure and privacy-preserving data retrieval operations in a network having a plurality of nodes. The process includes receiving a query at a querying node. The query is encrypted to generate an encrypted metadata query record. The encrypted metadata query record is transmitted to each queried node that is to be searched for data. A secure pattern matching protocol is used to search a database of metadata records to match a query answer to the metadata query record. The query answer is then encrypted. A query policy is verified for the querying node, with the encrypted answer being further encrypted based on the query policy. The further encrypted answer is transmitted to the querying node, which removes the outer layer of encryption, resulting in the original encrypted answer. The original encrypted answer is then decrypted to recover the query answer.

Method and apparatus for secure and privacy-preserving querying and interest announcement in content push and pull protocols

Described is a system for detecting attacks of misinformation on communication networks. Network controllability metrics on a graphical representation of a communication network are computed. Changes in the network controllability metrics are detected, and attack of misinformation on the communication network are detected based on the detected changes in the network controllability metrics.

System and method to detect attacks on mobile wireless networks based on network controllability analysis

Described is a system for determining reliability of nodes in a mobile wireless network. The system is operable for receiving an Exploitation Network (Xnet) database. The Xnet database has an Xnet structure formed of a physical node layer (NetTopo), a network dependent (NetDep) layer, and an application dependent (AppDep) layer. The NetTopo layer includes NetTopo graphs reflecting connectivity between the nodes. The NetDep layer includes NetDep graphs reflecting connectivity dependencies amongst the nodes, and the AppDep layer includes Appdep graphs reflecting software application dependencies amongst the nodes. An Xnet Analytics Engine is run that monitors and evaluates reliability of each node in the mobile wireless network to provide a reliability estimate of each node.

System and method for determining reliability of nodes in mobile wireless network

Described is a system for detecting attacks on networks. A hierarchical representation of activity of a communication network is used to detect and predict sources of misinformation in the communication network. The hierarchical representation includes temporal patterns of communication between at least one pair of nodes, each temporal pattern representing a motif, having a size, in the hierarchical representation. Changes in motifs provide a signal for a misinformation attack.

System and method to detect attacks on mobile wireless networks based on motif analysis

A method and apparatus for improving a performance of an antenna system. An influence network is generated for an array of elements in the antenna system using a reconfiguration algorithm. The influence network indicates an influence of an undesired event occurring at any element in the array of elements on a remaining portion of the array of elements given a current state of the array of elements. A relative ranking of vulnerability is created for elements in the array of elements based on the influence network. The reconfiguration algorithm is modified to take into account the relative ranking of vulnerability to form a modified reconfiguration algorithm. The antenna system using the modified reconfiguration algorithm to compensate for undesired events improves the performance of the antenna system.

Method and apparatus for modifying a reconfiguration algorithm for an antenna system

Described is a system for a cloud control operations plane. In operation, a job is broadcast to a plurality of physical hosts, one or more of the physical hosts having a control operations plane (COP) node and a service node associated with the COP node. The COP nodes jointly create a private job assignment. A set of job assignments is redundantly distributed to individual COP nodes pursuant to the private job assignments, such that each individual COP node is only aware of its own assignment and corresponding job. The service nodes then each complete a task associated with the job and generate an output. When a set of service nodes performing a redundant job complete their task, the corresponding COP nodes jointly perform a private result checking protocol to generate a final output. The final output is then sent to the user.

System and method for cloud control operations plane based on proactive security algorithms

Failure in a self-healing array may be handled by: detecting a failing element of the self-healing array by monitoring characteristics of the failing element; auto-correcting a failing element of the self-healing array by adjusting characteristics of the failing element to compensate for a portion of the failing element which is failing; or correcting performance of the self-healing array when one or more elements of the self-healing array fail by detecting and modeling an impact of the one or more elements of the self-healing array which failed on the performance of the self-healing array.

Self-healing array system and method

A method for optimizing a phased array antenna. A predicted future health state for elements in the phased array antenna is identified. A configuration for the elements to use a radiation pattern based on the predicted future health state for the elements taking into account potential degradation of a group of the elements in the predicted future health state is also identified.

Antenna array optimization system

The present invention relates to a system for deep packet inspection and intrusion detection. The system uses a pattern matching module receiving as an input a data stream in a neural network. Neurons are activated such that when active, the neuron fires to all connecting output neurons to form a neuron spike, each neuron spike from the assigned neuron to a connecting output neuron having a delay. A delay is associated with each input character in the pattern, such that a position of each input character relative to an end of the pattern is stored in an alphabet-pattern-delay matrix (APDFM). An activation matrix (AM) is used to match each input character with a stored pattern to generate a similarity match and determine if the string of characters is the stored pattern.

System and method for deep packet inspection and intrusion detection

Described is a cyber security system for digital artifact genetic modeling and forensic analysis. The system identifies the provenance (origin) of a digital artifact by first receiving a plurality of digital artifacts, each digital artifact possessing features. Raw features are extracted from the digital artifacts. The raw features are classified into descriptive genotype-phonotype structures. Finally, lineage, heredity, and provenance of the digital artifacts are determined based on mapping of the genotype-phenotype structures.

System and methods for digital artifact genetic modeling and forensic analysis

A method includes identifying a suspect node of a network. The method also includes initiating formation of a sub-network of the network by identifying neighbor nodes of the suspect node and sending an invitation message to a first neighbor node to invite the first neighbor node to the sub-network. The invitation message is encrypted using a first encryption key associated with the first neighbor node. The invitation message is not sent to a second node that is identified as a neighbor node only by the suspect node. The sub-network is configured to enable first communications between members of the sub-network. The first communications are communicated in a manner that is secured against access by the suspect node. Subsequent to formation of the sub-network, second communications between the suspect node and a device of the network are routed to or through at least one of the members of the sub-network.

Growing community of inventors

Oak Park, CA, United States of America

Gavin D Holland