A vehicle control system includes a memory, a first processor mounted in a vehicle, and a second processor different from an in-vehicle device. The first processor and the second processor are configured to execute acquisition processing, operation processing, reward calculation processing, and update processing. The first processor is configured to execute at least the acquisition processing and the operation processing, and the second processor is configured to execute the update processing.

A target trajectory generation device generates and outputs target trajectories each including a target position and a target speed of a vehicle. A first target trajectory is intended to perform at least one of steering, acceleration, and deceleration of the vehicle. A second target trajectory is intended to decelerate and stop the vehicle. When a malfunctioning device does not exist, a vehicle traveling control device executes vehicle traveling control based on the first target trajectory. When the malfunctioning device exists, the vehicle traveling control device stops the vehicle by executing the vehicle traveling control based on the second target trajectory output before the malfunction occurs, or based on the second target trajectory output from the target trajectory generation device other than the malfunctioning device.

A target trajectory generation device generates and outputs target trajectories each including a target position and a target speed of a vehicle. A first target trajectory is intended to perform at least one of steering, acceleration, and deceleration of the vehicle. A second target trajectory is intended to decelerate and stop the vehicle. When a malfunctioning device does not exist, a vehicle traveling control device executes vehicle traveling control based on the first target trajectory. When the malfunctioning device exists, the vehicle traveling control device stops the vehicle by executing the vehicle traveling control based on the second target trajectory output before the malfunction occurs, or based on the second target trajectory output from the target trajectory generation device other than the malfunctioning device.

An attack analyzer includes: a security log acquisition unit acquiring a security log including an abnormality detection signal generated by a security sensor mounted on an electronic control device constituting an electronic control system and indicating that the security sensor has detected an abnormality; a failure information acquisition unit acquiring failure information indicating a failure occurred in the electronic control device; a prediction table storage unit storing a prediction table showing a correspondence relationship between a predicted attack route in the electronic control system and a predicted abnormality detection signal predicted to be generated by the security sensor; an attack route estimation unit; and an attack information output unit outputting attack information indicating the attack route.

A system and method of augmenting a delivery route. The method comprises receiving first location information from a first position device and receiving second location information from a second position device. The method further comprises storing the first and second location information in a memory structure and determining, based on at least one of the first and second information, a time and a location for each of a plurality of stops. The method also comprises reconciling the determined time and location of each of the plurality of stops with a stored route comprising a plurality of stored stops, the stored stops having a stored location and a stored time associated therewith and estimating a plurality of transition times between pairs of the plurality of stops. The method further also comprises constructing an updated timeline based on the plurality of stored stops, the plurality of determined stops, and the plurality of transition times and updating the delivery route based on the constructed timeline.

Methods and systems are provided for using energy harvesting modules as a means for providing energy to power an electrical load and/or as a means for monitoring an operational state of a component or components to which the energy harvesting module is coupled. In one example, a method includes, via a controller, monitoring an actual amount of energy generated by an energy harvesting module attached to a mounting structure that is used to secure a torque-supplying machine to a frame, comparing the actual amount to an expected amount, and indicating degradation of the mounting structure and/or the torque-supplying machine based on the comparing. In this way, the energy harvesting modules may both power electrical loads and simultaneously serve as a monitor for component degradation.

Methods and systems are provided for using energy harvesting modules as a means for providing energy to power an electrical load and/or as a means for monitoring an operational state of a component or components to which the energy harvesting module is coupled. In one example, a method includes, via a controller, monitoring an actual amount of energy generated by an energy harvesting module attached to a mounting structure that is used to secure a torque-supplying machine to a frame, comparing the actual amount to an expected amount, and indicating degradation of the mounting structure and/or the torque-supplying machine based on the comparing. In this way, the energy harvesting modules may both power electrical loads and simultaneously serve as a monitor for component degradation.

The disclosure belongs to the technical field of autonomous vehicle, in particular to an automatic driving acceleration test method considering efficiency and coverage, which includes the following steps. Step 1 is definition of scenario test priority. Step 2 is zone division. Step 3 is search within zones. Step 4 is update of scenario test priorities. Step 5 is iterative test. After selecting the automatic driving function to be tested and setting the parameters of the vehicle operation zone, the scenario generation range is formed. The coverage of the test scenario is improved by dividing the generated range and setting the freedom of early autonomous driving exploration. The efficiency of the test process is improved by continuously improving the probability of generating dangerous scenarios in the test process. Thus, it is ensured that the generated test scenarios take into account both test efficiency and test coverage.

A video signal processing apparatus according to an embodiment includes a controller. The controller receives (i) a plurality of video signals from a plurality of video sources including a camera and (ii) a specifying signal that specifies which one of the video signals is to be output to a display apparatus. The controller changes a wait time from an input of the specifying signal to an output of the video signal specified by the specifying signal to the display apparatus based on which one of the plurality of the video sources corresponds to the video signal specified by the specifying signal.

User alert systems, apparatus, and related methods for use with vehicles are disclosed. A disclosed alert system for a vehicle includes an intrusion detection system (IDS) operatively coupled to the vehicle. The alert system also includes a network access device (NAD) operatively coupled to the vehicle and control circuitry configured to detect, via the IDS, a malicious message transmitted through a controller area network (CAN) bus of the vehicle. The control circuitry is also configured to generate a primary alert indicative of the malicious message and transmit, via the NAD, the primary alert to a primary user device corresponding to a driver of the vehicle. The control circuitry is also configured to generate a secondary alert indicative of the malicious message and transmit, via the NAD, the secondary alert to one or more secondary user devices different from the primary user device.