A vehicle having a powertrain control system includes an internal combustion engine configured to generate torque, and a transmission to transfer the torque to at least one driveline component of the vehicle. At least one electronic sensor is configured to output a signal indicative of at least one operating parameter of the vehicle. The powertrain control system further includes a vehicle scenario detection module and an electronic control module. The vehicle scenario detection module determines a current vehicle scenario of the vehicle based on the at least one operating parameter. The electronic control module determines a current vehicle scenario based on the at least one operating parameter, to actively determine an active skid-torque value in real-time based on the current vehicle scenario. The control module further generates a torque limiting control signal that adjusts operation of a powertrain system of the vehicle based on the active skid-torque value.

Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of the autonomous vehicle, and providing a visual feedback of the simulated driving behavior of the autonomous vehicle on a simulated road.

Systems and methods for determining if a vessel is experiencing a drive-off event, identifying a subsystem causing the drive-off event, and controlling a vessel to correct the drive-off event are disclosed. The determining may include processing, with a processor of the dynamic positioning control system, a modeled vessel motion and a measured vessel motion to determine whether there is a discrepancy between the modeled vessel motion and the measured vessel motion. The dynamic positioning (DP) control system may then take action to control vessel motion based, at least in part, on the processing of the modeled vessel motion and the measured vessel motion.

A transport facilitation system can receive a pick-up request from a user device running a designated application of a transportation arrangement service managed by the transport facilitation system, where the pick-up request comprising a unique identifier and a pick-up location. Using the unique identifier, the transport facilitation system can perform a lookup in the database for a comfort profile indicating vehicle setup preferences for a user of the user device, and based on the pick-up location, select a service vehicle to service the pick-up request. Based on the vehicle setup preferences indicated in the comfort profile, the transport facilitation system can transmit a set of configuration instructions to the selected service vehicle, where the set of configuration instructions to configure a number of adjustable components of the selected service vehicle for the user prior to the selected service vehicle arriving at the pick-up location.

A computer-implemented method for determining an appropriate control strategy for a mobile agent for an environment with one or more dynamic objects. The method includes: providing a number of different scenarios wherein to each of the scenarios a number of dynamic objects is associated, wherein for each of the scenarios, each of the dynamic objects is associated with a start, a goal and a behavior specification; providing a number of control strategy candidates for the mobile agent; benchmarking each of the control strategy candidates in any of the scenarios; selecting the control strategy for the mobile agent depending on the result of the benchmarking of the control strategy candidates.

A startup control device includes a vehicle temperature sensor configured to sense a temperature of the vehicle, a vehicle startup controller configured to select the second vehicle startup mode in a low temperature state in which the temperature of the vehicle is equal to or smaller than at least a first temperature judgment value when the request of the startup of the vehicle is sensed, and to select the third vehicle startup mode in an extremely low temperature state in which the temperature of the vehicle is equal to or smaller than a second vehicle temperature judgment value which is smaller than the first temperature judgment value when the request of the startup of the vehicle is sensed.

A computer for, e.g., a mass market passenger vehicle operable by a virtual driver in autonomous and/or semi-autonomous mode, is programmed to determine that a current vehicle braking capacity exceeds each of a first braking target and a mitigation threshold at a current vehicle speed. The computer is further programmed to compare the current vehicle speed to an engine breaking threshold and generate a transmission control message providing data to operate a vehicle transmission. Where the current vehicle speed is above the engine braking threshold, the transmission control message provides data to operate the vehicle transmission to inhibit transfer of an input torque through the vehicle transmission. Additionally, where the current vehicle speed is below a wheel lock threshold, the transmission control message further provides data to operate the vehicle transmission to inhibit rotation of an output shaft of the vehicle transmission.

An engine electronic control unit of a hybrid vehicle is configured to execute in-abnormality starting control for starting an engine when the engine is cranked in a state where abnormality occurs to communication between the engine electronic control unit and a hybrid electronic control unit. The hybrid electronic control unit is configured to execute in-abnormality cranking control for controlling the first motor such that the engine is cranked when the abnormality occurs to the communication between the engine electronic control unit and the hybrid electronic control unit. In addition, the hybrid electronic control unit is configured to execute in-abnormality electric travel control for controlling the second motor such that the hybrid vehicle travels only by power from the second motor when the in-abnormality cranking control is executed but the engine is not started.

A method comprises obtaining smart seat sensor data, the smart seat sensor data being detected by a tactile-sensitive surface material of a seat of an autonomous vehicle in response to a user interacting with the tactile-sensitive surface material. Other sensor data is obtained from one or more other sensors disposed within the autonomous vehicle. The smart seat sensor data and the other sensor data are integrated. A behavior of the user is estimated based on the integrated data, and the autonomous vehicle is controlled based on the estimated behavior of the user.

An oxygen sensor diagnosis control system of a hybrid electric vehicle is provided. The system of a hybrid electric vehicle eliminates an uncertainty of the number of diagnoses of an oxygen sensor and restrains diagnoses of the oxygen sensor in a hybrid electric vehicle. The system of a hybrid electric vehicle includes a hybrid controller operates a vehicle, and determines conversion of an oxygen sensor diagnosis mode based on a result obtained by calculating an oxygen sensor diagnosis index. Additionally, the controller determines whether a condition for diagnosing an oxygen sensor is satisfied when the oxygen sensor diagnosis index decreases to initiate a diagnosis inducing mode or a compulsory diagnosis mode.