A collision avoidance method for a vehicle includes monitoring a lateral distance between the vehicle and a target vehicle while the vehicle is travelling within a first lane and the target vehicle is travelling within an adjacent second lane, activating a warning on the vehicle and automatically adjusting operation of the vehicle to increase the distance between the vehicle and the target vehicle when the lateral distance between the vehicle and the target vehicle is less than the threshold distance while the vehicle is travelling within the first lane. Automatically adjusting operation of the vehicle may include one or both of steering the vehicle laterally away from the target vehicle and adjusting a longitudinal velocity of the vehicle. A related collision avoidance system is also provided.

A vehicle electronic control device includes a detection device configured to detect a state of an occupant, a first control device, and a second control device. The second control device is configured to refer to a database defining a relationship between the state of the occupant and a first time and to autonomously drive the vehicle at speeds equal to or lower than the maximum allowable speed from a switching time that is the time at which the first control device becomes unable to control the vehicle. The database is set in such a manner that the maximum allowable speed corresponding to a second state of the occupant is lower than the maximum allowable speed corresponding to a first state of the occupant when the first time corresponding to the second state is longer than the first time corresponding to the first state.

A vehicle control method for executing a lane change of a subject vehicle includes acquiring surrounding information of the subject vehicle; specifying an entry position indicating a position of an entry destination of the subject vehicle, the entry position being located on a second lane adjacent to a first lane in which the subject vehicle is traveling; when operating a blinker, decelerating the subject vehicle, and executing a lane change; determining that there is a following vehicle which follows the subject vehicle in a predetermined area located behind the subject vehicle on a first lane; setting a preparation time longer than the preparation time when determining that there is not the following vehicle, the preparation time indicating a time from operating the blinker to decelerating the subject vehicle and starting the lane change; and controlling a travel position of the subject vehicle on the first lane within the preparation time.

A vehicle control apparatus is mounted in a subject vehicle provided with a running planning unit configured to calculate one or more candidate routes on which the subject vehicle is to travel. The vehicle control apparatus predicts an action of a prediction target moving body that includes the subject vehicle and at least one moving body present in a vicinity of the subject vehicle.

There is disclosed a control system and a method for a host vehicle operable in an autonomous mode. The control system comprises one or more controllers. The speed and/or path of the vehicle in the autonomous mode is appropriate to a driving context.

A drive assistance device for a saddle riding-type vehicle includes an outside detecting part that detects a situation around the vehicle, a brake device that brakes a host vehicle, a driving device that drives the host vehicle, and a controller that controls operation of the brake device and the driving device, and the controller performs following-travel-control that causes the host vehicle to travel with a first vehicular gap while following a preceding vehicle by actuating at least one of the brake device and the driving device, adjusts actuation of at least one of the brake device and the driving device when the outside detecting part detects a corner in a direction in which the host vehicle advances while the following-travel-control is performed, and performs control of setting a vehicular gap with respect to the preceding vehicle as a second vehicular gap that is greater than the first vehicular gap.

Systems and methods are disclosed herein for adaptive power take-off (PTO) droop control for a self-propelled work vehicle having an engine and a PTO device directly mechanically coupled to the engine. The systems and methods enable user selection of at least one of a target ground speed or a target power take off (PTO) speed. The systems and methods are responsive to at least one of the selected target ground speed or the selected target PTO speed to identify a maximum transmission ground drive efficiency corresponding to an effective droop value within a defined droop range. The systems and methods control an actual engine speed and an actual transmission ratio to respective adjusted target values corresponding with the maximum transmission ground drive efficiency.

A mobile agricultural machine obtains an agricultural characteristic map indicative of agricultural characteristics of a field, wherein the agricultural characteristic map is based on data collected at or prior to a first time. The mobile agricultural machine obtains supplemental data indicative of characteristics relative to the worksite, the supplemental data collected after the first time. An agricultural characteristic confidence output, indicative of a confidence level in the agricultural characteristics indicated by the agricultural characteristic map, is generated based on the agricultural characteristic map and the supplemental data. In some examples, an action signal is generated to control an action of the mobile agricultural machine based on the agricultural characteristic confidence output.

A method using unsupervised velocity prediction and correction for urban driving from sequences of noisy position estimates includes: performing a vehicle velocity prediction for one or more other vehicles in a vicinity of a host automobile vehicle; calculating a first heuristic based on a uniformity test; calculating a second heuristic based on a vehicle speed of the one or more other vehicles; combining the first heuristic and the second heuristic using a weighted sum; determining an uncertainty mask applying the combined first heuristic and the second heuristic and a heuristic threshold; and applying the uncertainty mask to identify a velocity correction for use by the host automobile vehicle.

In an approach to mirage detection by autonomous vehicles, one or more computer processors monitor road conditions of a road on which an autonomous vehicle is traveling. One or more computer processors detect a visual indication of a water accumulation on the road. One or more computer processors determine whether one or more other vehicles are detected on the road ahead of the autonomous vehicle. Responsive to determining the one or more other vehicles are detected, one or more computer processors request information associated with road conditions of the road ahead of the autonomous vehicle from the one or more other vehicles. Based on a response to the request from the one or more other vehicles, one or more computer processors determine the one or more other vehicles did not detect the water accumulation. One or more computer processors determine the visual indication of the water accumulation is a mirage.