Abstract:
A system and method for classifying an actuation of an electric parking brake of a vehicle. In one example, the system includes a sensor configured to sense a vehicle parameter, an output device, a data store including an electric parking brake usage profile, and an electronic controller configured to receive the electric parking brake usage profile, receive the vehicle parameter from the sensor, detect an actuation of the electric parking brake, and in response to detecting an actuation of the electric parking brake: determine a reason for the actuation of the electric parking brake, determine an attribute of the vehicle based on the vehicle parameter, classify the actuation of the electric parking brake based on at least one selected from the group consisting of a numerical value of the attribute and the reason for the actuation of the electric parking brake, update the electric parking brake usage profile based on the classification of the actuation of the electric parking brake, and output the updated parking brake usage profile to the output device.
Abstract:
A system and method for classifying an actuation of an electric parking brake of a vehicle is presented. In one example, the system includes a sensor configured to sense a vehicle parameter, an output device, a memory including an electric parking brake usage profile, and an electronic controller configured to receive the electric parking brake usage profile, receive the vehicle parameter, detect an actuation of the electric parking brake, and in response to detecting an actuation of the electric parking brake: determine a reason for the actuation of the electric parking brake, determine an attribute of the vehicle based on the vehicle parameter, classify the actuation of the electric parking brake based on a numerical value of the attribute and/or the reason for the actuation of the electric parking brake, update the electric parking brake usage profile based on the classification, and output the updated parking brake usage profile.
Abstract:
A private controller area network (CAN) is provided in a vehicle to notify non-targeted electronic control units (ECUs) of unauthorized attempts to access a target ECU. Each ECU on the private CAN stores a common encrypted hacking notification key (HNK) and a unique identification code. When a first vehicle system ECU detects an unauthorized access attempt via the public CAN, it sends a warning message to the other ECUs via the closed, private CAN.
Abstract:
A system and method for avoiding collisions in a traffic intersection using radar sensors is disclosed. The system detects the location, speed, size, and direction of travel of objects, including vehicles and vulnerable road users, in and approaching a traffic intersection. Using this information, trajectories for all objects are determined, and, if a likelihood of a collision is determined, one or more traffic signal transitions are delayed in an attempt to avoid the collision.
Abstract:
A system and method for avoiding collisions in a traffic intersection using radar sensors is disclosed. The system detects the location, speed, size, and direction of travel of objects, including vehicles and vulnerable road users, in and approaching a traffic intersection. Using this information, trajectories for all objects are determined, and, if a likelihood of a collision is determined, one or more traffic signal transitions are delayed in an attempt to avoid the collision.
Abstract:
A global positioning signal based learned control event prediction method and apparatus includes a learning auxiliary module connected to a communication bus of a vehicle. The arrangement stores events and event locations using global positioning signals for a vehicle traveling along a path. When the vehicle travels the same path a second time, the detected events and event locations are determined. When the events match at the same event locations, a predictive action is determined for a future occurrence of the vehicle approaching the event location. Thus, as the vehicle approaches the event location, the predictive action, for example pre-filling of the vehicle brakes or pre-tensioning of the seat belts occurs.
Abstract:
A system for modifying vehicle behavior based on data from a dynamically updated roadway coefficient of friction database. The system includes a roadway coefficient of friction database and an electronic computing device. The electronic computing device includes a first electronic processor that is configured to receive a current coefficient of friction and a location of a vehicle and depending on a criterion, replace, in the roadway coefficient of friction database, a previous coefficient of friction with the current coefficient of friction. The first electronic processor is also configured to receive a request for a coefficient of friction associated with a location and transmit the coefficient of friction associated with the location. Additionally, the system includes a plurality of vehicles each including a second electronic processor. Each second electronic processor is configured to perform a preventative measure based on the coefficient of friction received from the electronic computing device.
Abstract:
A global positioning signal based learned control event prediction method and apparatus includes a learning auxiliary module connected to a communication bus of a vehicle. The arrangement stores events and event locations using global positioning signals for a vehicle traveling along a path. When the vehicle travels the same path a second time, the detected events and event locations are determined. When the events match at the same event locations, a predictive action is determined for a future occurrence of the vehicle approaching the event location. Thus, as the vehicle approaches the event location, the predictive action, for example pre-filling of the vehicle brakes or pre-tensioning of the seat belts occurs.