The driving support ECU performs a steering control for changing a steering angle in such a manner that an own vehicle travels along a target path. When a state in which holding state information does not satisfy a first condition continues for a first time threshold or more, the ECU starts a first alert and continues the steering control. The holding state information includes information indicative of a steering torque and represents a holding state of a steering handle by a driver. When a state in which the holding state information does not satisfy a second condition for a second time threshold or more after the first alert is started, the ECU starts a deceleration control. The second condition is a condition satisfied when the holding state information indicates that the driver holds the steering handle more firmly than when the holding state information satisfies the first condition.

A hitch assist system is provided herein that includes a sensing system configured to detect a trailer proximate a vehicle. The hitch assist system also includes a controller for determining an environmental visibility level; determining an offset from a first sensor in high visibility levels and from a second sensor in low visibility levels; and maneuvering the vehicle along a path to align a hitch ball with a coupler of the trailer.

An ADV may determine a predicted path for a moving obstacle. The ADV may determine a predicted area based on the predicted path. The ADV may determine a path for the ADV based on the predicted area. The path for the ADV may avoid the predicted area when determining the path for the ADV.

The disclosure includes embodiments for minimizing radar interference. In some embodiments, a method includes observing, for a time frame, an order in which Basic Safety Messages (BSMs) are received by a DSRC radio of the ego vehicle and broadcasted by the DSRC radio of the ego vehicle. In some embodiments, the method includes building a data structure that includes digital data that describes the order in which the BSMs were received and transmitted by the DSRC radio during the time frame. In some embodiments, the method includes assigning, by the onboard computer of the ego vehicle, radar parameters to the one or more other DSRC-enabled vehicles and the ego vehicle based on the order described by the digital data included in the data structure.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.

Disclosed are methods and systems for detecting vital signs of occupants in vehicles, for example, the vehicle cabin. A signal unit transmits a radar signal to the occupant and receiving the radar signal reflected from the occupant. The reflected radar signal is analyzed with respect to vibration data of the vehicle, to produce a modified signal. The modified signal is analyzed to determine the vital signs of the occupant.

An autonomous vehicle and a diagnosis method for the autonomous vehicle are provided. The autonomous vehicle includes a memory that stores a driving record of the vehicle and a processor that establishes a diagnosis plan. The vehicle diagnosis is performed while operating the vehicle autonomously, when a stopping period of the vehicle is greater than or equal to a predetermined reference period, based on the driving record.

An avoidance modifier system may be configured to modify operation of a collision avoidance system associated with a machine. The avoidance modifier system may include at least one inclination sensor and a modifier system controller configured to be in communication with the collision avoidance system. The modifier system controller may be configured to receive an inclination signal from the inclination sensor and determine an inclination angle at which the machine is operating relative to level operation. The modifier system controller may be configured to determine an adjusted ground plane angle indicative of a virtual ground plane on which the machine is operating, and communicate with the collision avoidance system, such that the collision avoidance system does not activate a braking device of the machine in response to an object sensor generating an object signal indicative of detection of an object between an actual ground plane and the virtual ground plane.

This assist device for pulling out of a parking spot includes: an assist control unit for performing assist control to change the steering angle of a vehicle to a target steering angle; and a pulling out possibility determination unit for determining whether or not the vehicle can pull out on the basis of the detection result of a forward obstacle detected by forward detection unit. If it is determined that the vehicle can pull out, the assist control unit performs assist control to change the steering angle of the vehicle from the target steering angle to a neutral angle or a neutral vicinity angle.

A saddle-ride vehicle includes a forward travel sensor a brake that decelerates the vehicle by actuation of a rider-operable brake control. A controller identifies a trigger for an autonomous braking event for the brake. A rider sensor system is in electrical communication with the controller and includes one or both of: a rider cognition sensor operable to detect parameters of rider cognition and report rider cognition status to the controller, and a rider physical sensor operable to detect parameters of a physical engagement between a rider and the vehicle and report rider physical engagement status to the controller. The controller is programmed to perform one or both of the following in response to the identification of the autonomous braking event trigger: checking for a positive cognitive engagement of the rider with the rider cognition sensor, and checking for a positive physical engagement of the rider with the rider physical sensor.