A work vehicle periphery monitoring system includes: an alarm range storage unit that stores an alarm range, in which an alarm output is required when an object is present, in a detection range of an object detection device that detects an object present in a periphery of a work vehicle; a work mode determination unit that determines a work mode of the work vehicle; an alarm range changing unit that changes the alarm range in the detection range when it is determined that the work mode is a specific work mode; and an alarm control unit that causes an alarm device to output an alarm when an object is present in the alarm range.

The present invention provides for a genetically modified host cell capable of producing isopentenol and/or 3-methyl-3-butenol, comprising (a) an increased expression of phosphomevalonate decarboxylase (PMD) (b) an increased expression of a phosphatase capable of converting isopentenol into 3-methyl-3-butenol, (c) optionally the genetically modified host cell does not express, or has a decreased expression of one or more of NudB, phosphomevalonate kinase (PMK), and/or PMD, and (d) optionally one or more further enzymes capable of converting isopentenol and/or 3-methyl-3-butenol into a third compound, such as isoprene.

A method for operating a motor vehicle, in which an object situated in a sensor region is detected with the aid of a sensor in surroundings of the motor vehicle; A piece of position information relating to the object is created. The position information is retained when the object is moved out of the sensor region, due to a movement of the motor vehicle, the distance of the object to the motor vehicle not increasing. The invention further relates to a motor vehicle and a computer program product.

A method of operating a vehicle wherein the method comprises using a distance sensor to determine the distance between a part of the vehicle and an object, and implementing a speed control procedure if the distance detected by the distance sensor falls below a predetermined value, characterized in that the method is implemented only while the vehicle is in reverse gear and for a period of time immediately following disengagement of the reverse gear.

The present embodiment relates to a vehicle control apparatus or a rear-end collision avoidance apparatus, and may optimally set a reactivation condition for performing reactivation of a rear emergency braking function based on whether an engine operates after the rear emergency braking function is deactivated by a driver's braking input in an operation such as backward parking or the like, a vehicle speed and vehicle traveling distance after the rear emergency braking function is deactivated, a separation distance from an initial stoppage position to an obstacle after the rear emergency braking function is deactivated, and the like, thereby securing both convenience and safety of the driver.

A RADAR system and associated methods are used to detect obstacles obscured from view when backing a trailer. An autonomous tractor is equipped with a rear facing RADAR device that has a field-of-view under the trailer and is configured to output RADAR returns from reflections. A controller of the tractor classifies RADAR returns from the RADAR device according to a number of reflections by a dock wall and a trailer face (e.g., a back end of the trailer) of a corresponding RADAR beam. The RADAR returns are correlated based on distance, and distance of a RADAR return from an obstacle is corrected based on the number of reflections. Advantageously, by processing RADAR returns from both direct and reflected RADAR beams, the controller is able to detect obstacles hidden behind the trailer and flag the obstacles as a hazard.

A radar system suitable for use on a vehicle and configured to detect a false radar-track arising from a reflection of a radar return from a target includes a first sensor, a second sensor, and a controller. The first sensor outputs a first signal indicative of a first target in a first area proximate to a vehicle. The second sensor outputs a second signal indicative of a second target in a second area proximate to the vehicle and different from the first area. The controller receives the first signal and the second signal. The controller determines that the second target is a reflection of the first target when a reflection-line that bisects and extends orthogonally from a line-segment extending between the first target and the second target intersects with a reflection surface detected by the second sensor.

Example vehicle alignment systems for use at loading docks are disclosed herein. An example vehicle alignment system includes a sensor system to detect a surface of a vehicle, where the sensor system obtains a feedback signal representative of a spatial orientation of the detected surface relative to a reference as the vehicle approaches a doorway of the loading dock. A controller detects a threshold deviation in the spatial orientation of the detected surface of the vehicle relative to the reference based on the feedback signal. A display varies an output signal in response to the detected deviation in the spatial orientation of the detected surface relative to the reference.

A vehicular sensing system includes at least one MIMO radar sensor disposed at the vehicle and sensing exterior and forward of the vehicle. The at least one MIMO radar sensor includes multiple transmitting antennas and multiple receiving antennas. The transmitting antennas transmit radar signals and the receiving antennas receive radar signals. Radar data captured by the at least one MIMO radar sensor is provided to an electronic control unit (ECU). The ECU includes a processor and, responsive at least in part to processing at the ECU of provided captured radar data and vehicle motion information, determines different types of surfaces sensed by the at least one MIMO radar sensor. Responsive at least in part to processing at the ECU of provided captured radar data, the vehicular sensing system provides an output for at least one driving assist system.

An autonomous vehicle (AV) includes a radar sensor system and a computing system that computes velocities of an object in a driving environment of the AV based upon radar data that is representative of radar returns received by the radar sensor system. The AV can be configured to compute a first velocity of the object based upon first radar data that is representative of the radar return from a first time to a second time. The AV can further be configured to compute a second velocity of the object based upon second radar data that includes at least a portion of the first radar data and further includes additional radar data representative of a radar return received subsequent to the second time. The AV can further be configured to control one of a propulsion system, a steering system, or a braking system to effectuate motion of the AV based upon the computed velocities.