Abstract: In accordance with one embodiment, an onboard computer (OBC) and associated circuitry capable of spoofing or mimicking a fault condition tricks an electronic control module (ECM) of an automobile or other such vehicle into implementing an engine derate procedure resulting in vehicle immobilization that is safe and that is credibly attributable to a genuine vehicle fault condition. For example, in response to an engine shutdown command, the OBC might cause a fault-spoofing engine shutdown device in one embodiment to spoof an engine overheating condition by inserting an electrical resistance in parallel with the resistance of an engine temperature sensor, thus lowering the electrical resistance of the temperature sensor as detected by the ECM.

Abstract: A method of predicting vehicle rollover is provided to assist in preventing vehicle rollover. The method contains the steps of: determining a center of gravity of a vehicle; determining an actual lateral acceleration of the vehicle; determining a maximum lateral acceleration of the vehicle; and determining if the actual lateral acceleration is more than a predefined percentage of the maximum lateral acceleration. When the actual lateral acceleration is more than the predefined percentage of the maximum lateral acceleration, a warning is issued to the driver such that preventative measures can be taken to avoid a rollover.

Abstract: Model zone data and model subzone data is employed to simplify calculations for determining where and/or when a boundary crossing event has occurred. A system for detecting a boundary crossing event employs a memory and a processor. The processor in one embodiment is configured by the memory to perform the steps of sensing current position; comparing the sensed current position to model zone data to determine presence within a geometric figure constructed around a boundary crossing point; comparing the sensed current position to model subzone data to determine presence within a first portion of the geometric figure; comparing the sensed current position to model subzone data to determine presence within a second portion of the geometric figure; and detecting a boundary crossing event as a result of movement from the first portion of the geometric figure to the second portion of the geometric figure.

Abstract: In accordance with one embodiment, an onboard computer (OBC) and associated circuitry capable of spoofing or mimicking a fault condition tricks an electronic control module (ECM) of an automobile or other such vehicle into implementing an engine derate procedure resulting in vehicle immobilization that is safe and that is credibly attributable to a genuine vehicle fault condition. For example, in response to an engine shutdown command, the OBC might cause a fault-spoofing engine shutdown device in one embodiment to spoof an engine overheating condition by inserting an electrical resistance in parallel with the resistance of an engine temperature sensor, thus lowering the electrical resistance of the temperature sensor as detected by the ECM.

Abstract: Model zone data and model subzone data is employed to simplify calculations for determining where and/or when a boundary crossing event has occurred. A system for detecting a boundary crossing event employs a memory and a processor. The processor in one embodiment is configured by the memory to perform the steps of sensing current position; comparing the sensed current position to model zone data to determine presence within a geometric figure constructed around a boundary crossing point; comparing the sensed current position to model subzone data to determine presence within a first portion of the geometric figure; comparing the sensed current position to model subzone data to determine presence within a second portion of the geometric figure; and detecting a boundary crossing event as a result of movement from the first portion of the geometric figure to the second portion of the geometric figure.

Abstract: A method of predicting vehicle rollover is provided to assist in preventing vehicle rollover. The method contains the steps of: determining a center of gravity of a vehicle; determining an actual lateral acceleration of the vehicle; determining a maximum lateral acceleration of the vehicle; and determining if the actual lateral acceleration is more than a predefined percentage of the maximum lateral acceleration. When the actual lateral acceleration is more than the predefined percentage of the maximum lateral acceleration, a warning is issued to the driver such that preventative measures can be taken to avoid a rollover.

Abstract: Network node discovery is implemented using parameters reflecting network-specific characteristics. Estimates of the number of active nodes in a network are computed based on the presence of dead time (e.g., due to clock latency, device driver delays, etc.), network topology, packet size, network capacity, a tolerable network overload threshold, and other characteristics. A network node enumeration process is therefore parameterized to incorporate consideration of such characteristics. A damping factor that incorporates dead time to set a lower bound for an estimate of remaining active nodes in a network is one example of a network-specific parameter.

Abstract: A network node discovery method allows multiple enumerators to concurrently accept and interpret the same enumeration responses from responder nodes on a network. In this manner, the responder nodes do not have to issue individual responses for each enumerator. Each responder maintains a discovery state and one or more per-enumerator session states to manage when the responder should transmit enumeration responses. The enumeration, therefore, proceeds at a target network load, irrespective of the number of enumerators present, and completes in a short time by making efficient use of the network capacity available. Furthermore, an enumerator can determine that it need only wait for responses solicited by other enumerators, rather than requesting them, thereby reducing network traffic in the presence of many concurrently enumerating nodes.