A live map system may be used to propagate observations collected by autonomous vehicles operating in an environment to other autonomous vehicles and thereby supplement a digital map used in the control of the autonomous vehicles. In addition, a live map system in some instances may be used to propagate location-based teleassist triggers to autonomous vehicles operating within an environment. A location-based teleassist trigger may be generated, for example, in association with a teleassist session conducted between an autonomous vehicle and a remote teleassist system proximate a particular location, and may be used to automatically trigger a teleassist session for another autonomous vehicle proximate that location and/or to propagate a suggested action to that other autonomous vehicle.

A vehicle controller includes a processor configured to detect an abnormal condition of a driver of a vehicle, based on an inside sensor signal, search a predetermined section from the position of the vehicle at detection of the driver's abnormal condition for a first evacuation space by referring to map information, detect an obstacle in the first evacuation space, based on an outside sensor signal, search the predetermined section for a second evacuation space by referring to the map information when the obstacle is detected, control the vehicle to stop the vehicle in the second evacuation space when the second evacuation space is detected, and control the vehicle to stop the vehicle on a roadway being traveled by the vehicle in the predetermined section when the second evacuation space is not detected.

A computing system can include a sensor data input chiplet to (i) obtain sensor data from a sensor system, and (ii) store the sensor data in a cache. One or more workload processing chiplets can perform out-of-order execution on workloads corresponding to the sensor data stored in the cache, where respective workloads comprise sets of dependencies. The one or more workload processing chiplets perform out-of-order execution on the workloads by dynamically determining whether one or more dependencies exists for the respective workload, and when no data dependencies exist for the respective workload, executing the respective workload.

The present invention relates to a control system for a vehicle powertrain (3). The vehicle powertrain (3) includes a transmission (27), a launch control clutch (31), and a transfer case (39) selectively operable in a high range and a low range. The control system includes a monitor (53, 55) for monitoring one or more operating parameters of the launch control clutch (31) and/or the transmission (27). The control system comprises a controller (49) configured, in dependence on said monitoring means determining that said one or more operating parameters are above a predefined operating threshold or outside a predefined operating range, to output a notification to the user to select said low range; and/or to output a transfer case control signal to the transfer case (39) automatically to select said low range.

A passive vehicular heatstroke prevention system monitors carbon dioxide (CO.sub.2) and infrared (IR) energy levels to determine whether a child is present inside a closed vehicle, and, if so, monitors the temperature in the vehicle and, if the temperature in the vehicle exceeds at least one preset critical value, automatically lowers the temperature in the vehicle and contacts the driver/caregiver and/or emergency personnel. The system detects the presence of a child in the closed vehicle by detecting a critical level of carbon dioxide in the air within the vehicle, while monitoring the interior vehicle temperature and takes corrective action to prevent the temperature from exceeding a preset value, such as by activating the vehicle's air conditioning unit and lowering the vehicle's windows, as well as contacting the driver/caregiver and/or emergency personnel.

Methods and apparatus are disclosed for vehicle mobile device usage monitoring with a cell phone usage sensor. An example disclosed vehicle includes a cellphone usage sensor and a communication enforcer. The example cellphone usage sensor monitors a detection area around a driver's seat. The example communication enforcer changes an operation of the vehicle when the cellphone usage sensor detects usage of a mobile device within the detection area, a communication management feature is enabled, and the mobile device is not communicatively coupled to a wireless module of the vehicle.

A perception system for an autonomous machine to be hauled by a towing vehicle includes sensors that are configured to determine characteristics of an environment associated with the machine. Such characteristics associated with the machine include at least structural characteristics of the towing vehicle. The sensors are further configured to detect a presence of the towing vehicle on a job site, an orientation of the towing vehicle on the job site, and a loading end of the towing vehicle. The perception system further includes a controller that is communicably coupled to each of the sensors. The controller is configured to actuate movement of the machine in relation to the towing vehicle based on the characteristics of the environment determined by the sensors.

A method of reconstructing a detected faulty signal. A roll sensor fault is detected by a processor. A signal of the detected faulty roll sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

The present disclosure relates to a driver controlling system for a vehicle comprising a propulsive actuator unit, a propulsive sensor unit, and a control unit. The control unit prompts the propulsive actuator unit to apply a driving parameter in an automated driving mode of the vehicle. The driving parameter is based on a driving preference of a driver. The control unit further modifies the driving parameter of the automated driving mode by a defined rate of deviation for causing a reaction of the driver. The propulsive sensor unit generates driver engagement data based on the reaction of the driver to the modified driving parameter. The rate of deviation may be varied and/or the driving parameter may be incrementally modified from a prior modified driving parameter by the defined rate of deviation, in case of insufficient reaction of the user.

A driver assistance apparatus for a vehicle calculates a vehicle speed of a random vehicle present ahead of the vehicle, and momentum of a front part or a rear part of the random vehicle, on the basis of detection data by a surrounding environment sensor configured to detect data regarding surrounding environment around the vehicle, and estimate a slip angle or a slip angular speed of a rear wheel of the random vehicle, on the basis of data regarding at least the vehicle speed of the random vehicle and the momentum of the front part or the rear part of the random vehicle, and data regarding an estimated distance from the rear wheel of the random vehicle to the front part or the rear part of the random vehicle.