A vehicle for collision avoidance assistance may include: a camera to obtain an image of an object behind the vehicle, and obtain coordinates of a feature point spaced apart from the object, a controller, and a notification unit to output a collision warning. In particular, the controller sets an estimated value of a vector indicating a state of the vehicle based on coordinates of the vehicle, coordinates of the object, and the coordinates of the feature point, determine a predicted value of the estimated value of the vector based on a result of differentiating the estimated value of the vector with respect to time, correct the predicted value, determine the estimated value of the vector, and calculate a distance between the camera and the object to transmit a collision warning signal to the notification unit.

Accelerometer-based external sound monitoring for backup assistance in a vehicle. The vehicle includes an accelerometer mounted on an internal surface of a rear window of the vehicle, a rear view camera, and a processor. The processor identifies a source of a sound that causes vibrations on the rear window that are captured by the accelerometer. The processor also categorizes the sound and provides an alert based on a category of the sound.

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 method for determining a water level with respect to a vehicle is provided. The method includes receiving vehicle sensor data from one or more sensors supported by the vehicle. The method also includes determining the water level based on the received sensor data. The method includes transmitting instructions to a drive system. The instructions causing vehicle brakes supported by the vehicle to engage.

Vehicles and methods for augmenting rearview displays for vehicles are provided. An exemplary method is provided for augmenting a rearview display for a vehicle having a gate moveable between a closed configuration and an opened configuration. The method includes collecting dynamic pixel images of an area behind the vehicle using a camera connected to the vehicle. Further, the method includes, in response to a command, displaying graphical overlays to the collected dynamic pixel images on a display screen, via a processor, wherein the graphical overlays depict an outline of the gate and/or projected path of the gate in the opened configuration.

A method and apparatus for detecting static objects and broadside objects in a vehicular radar system is presented. Detection data within a field of view for a host vehicle is acquired. A histogram process is used to determine a presence of at least one of a static object and a broadside vehicle. The histogram process includes generating ratios of a relative velocity of an object (Vr) to host velocity (Vh) from acquired detection data and determining a number of detections which occur at an angle corresponding to an intersection of two lines with a first line represented by Vr/Vh=0 and a region of a second line within the FOV along which Vr/Vh0. The detections are filtered to identify only those detection points at a first and second predetermined values of , wherein the identified detections indicate a presence of a static object and/or a broadside vehicle.

A collision determination apparatus includes an acquisition section, a filtering section, a target object information detection section, a target object path prediction section, an own vehicle path prediction section, a collision determination section, and a vehicle control section. The acquisition section (21) acquires detection information based on a reflected wave from a search device. The filtering section filters the detection information. The target object information detection section detects a position of a target object using the filtered detection information. The target object path prediction section predicts a path of the target object based on changes in the detected position of the target object. The own vehicle path prediction section predicts a path of an own vehicle. The collision determination section determines a risk of collision between the own vehicle and the target object. The vehicle control section executes a vehicle control. The path of the target object is predicted based on the detection information filtered by a collision determination filter. The path of the target object is predicted based on the detection information filtered by a vehicle control filter. The filtering process is a smoothing process that inhibits changes in the detection information. The vehicle control filter and the collision determination filter have different smoothing degree of inhibiting the changes in the detection information.

A wireless sensor system and method detects when a tailgate, door, or other object on a vehicle moves from a closed position to an open position and then generates an alarm. The wireless sensor system includes a wireless sensor and a transceiver module. The transceiver module is plugged into a cigarette lighter of the vehicle to receive its power. The wireless sensor detects a movement of an object on a vehicle from a first position to a second position. The wireless sensor transmits data indicating the object moved from the first position to the second position to the transceiver module. The transceiver module receives the transmitted data and determines whether to cause an alarm to be generated based, at least in part, on the transmitted data. When an alarm is to be generated, the transceiver module causes the alarm to be generated.

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 warning device and a mobile carrier assembly are provided. The mobile carrier assembly includes a mobile carrier and a warning device mounted at the outside of the mobile carrier. The warning device includes an energy harvesting unit, a battery, an object sensor and a warning element. The energy harvesting unit is used to retrieve an energy from an environment and convert the energy into an electrical energy. The battery is electrically connected with the energy harvesting unit for storing the electrical energy. The object sensor is electrically connected with the battery and used to sense whether an object is present in a predetermined range. The warning element is electrically connected with the object sensor and used to issue an alert when the object sensor senses that an object is present in the predetermined range. The alert includes a sound or light.