Abstract: Provided is an antifog sheet such that a coated film does not become whitened and the adhesive property of the coated film is not decreased by whitening of the coated film while maintaining antifog property even when the coated film is irradiated with ultraviolet light under high humidity environment and when coated film is in wet state. The antifog sheet of the present invention includes a first layer and a second layer successively layered on a base material. The first layer includes a heat treated product of a first coating composition including a water absorbing resin. The second layer includes a second coating composition including a polyol and a benzotriazole-based ultraviolet light absorber. The amount of the benzotriazole-based ultraviolet light absorber used in the second coating composition is 1.5 to 8 wt % in solid content equivalent.

Abstract: A host-vehicle risk acquisition device includes a host-vehicle path acquisition portion that acquires a path of a host-vehicle, and an obstacle path acquisition portion that acquires a plurality of paths of an obstacle existing around the host-vehicle. A collision risk acquisition portion acquires an actual collision risk, which is a collision risk between the host-vehicle and the obstacle when the host-vehicle is in a travel state based on the path of the host-vehicle and the plurality of paths of the obstacle. An offset risk acquisition portion acquires an offset risk, which is a collision risk between the host-vehicle and the obstacle in an offset travel state, which is offset from the travel state of the host-vehicle.

Abstract: Provided is a driving assist device 10 that recognizes an object in the vicinity of a moving body, and assists a driver in driving the moving body, the apparatus including: an object detecting unit 12 that detects the object in the vicinity of the moving body; a three dimensional object detecting unit 13 that detects a three dimensional object in the vicinity of the moving body; and an object recognition unit 18 that recognizes the object at a predetermined detection position as a non-obstacle when the object information storing unit 16 stores the position of the object, and the three dimensional object information storing unit 17 does not store the position of the three dimensional object at the predetermined position in which detection is performed by both of the object detecting unit 12 and the three dimensional object detecting unit 13.

Abstract: A vehicle risk level acquiring ECU calculates and acquires a plurality of courses of other vehicles around a driver's own vehicle, and acquires the predicted course of the driver's own vehicle. The vehicle risk level acquiring ECU calculates the collision probability of the driver's own vehicle as collision possibility on the basis of the predicted course of the driver's own vehicle and the plurality of courses of other vehicles.

Abstract: An other-vehicle detector 18 of an other-vehicle detection device 10a detects an other-vehicle VO around a host vehicle VM based on the predetermined feature amount. A detection reference value adjustment unit 16 of the other-vehicle detection device 10a, regarding the feature amount for detecting the other-vehicle VO around the host vehicle VM, changes a threshold value of the feature amount for detecting the other-vehicle VO, and detects the other-vehicle VO, based on a relative positional relationship between the other-vehicle VO and the host vehicle VM. In this way, it is possible to detect the existence of the other-vehicle VO according to the situation more.

Abstract: A movement region prediction apparatus includes a mobile body detection device that detects a mobile body around a host vehicle; a prediction device that predicts a movement region of the detected mobile body; and a degree-of-normality acquisition device that acquires degree of normality of a situation of movement of the detected mobile body. The prediction device has a plurality of movement prediction models for predicting the movement region of the mobile body, and selects a movement prediction model from the plurality of movement prediction models based on the degree of normality acquired by the degree-of-normality acquisition device, and predicts the movement region of the mobile body using the selected movement prediction model.

Abstract: A vibrating body comprising a substrate a piezoelectric element comprising a piezoelectric layer and electrode layers and joined to the substrate and a ceramic layer between the substrate and the piezoelectric element, wherein the ceramic layer comprises a first region and a second region which is adjacent to the first region in a direction perpendicular to a thickness direction of the ceramic layer, wherein the first region has a quadrangular prism shape, each side of the first region having a length equal to a thickness of the ceramic layer, wherein the second region has a quadrangular prism shape, each side of the second region having the length equal to the thickness of the ceramic layer, and wherein a difference between a porosity of the first region and a porosity of the second region is not greater than 15%.

Abstract: A host-vehicle risk acquisition device includes a host-vehicle path acquisition portion that acquires a path of a host-vehicle, and an obstacle path acquisition portion that acquires a plurality of paths of an obstacle existing around the host-vehicle. A collision risk acquisition portion acquires an actual collision risk, which is a collision risk between the host-vehicle and the obstacle when the host-vehicle is in a travel state based on the path of the host-vehicle and the plurality of paths of the obstacle. An offset risk acquisition portion acquires an offset risk, which is a collision risk between the host-vehicle and the obstacle in an offset travel state, which is offset from the travel state of the host-vehicle.

Abstract: A collision determination device determines the possibility of collision between a host vehicle and the other object on the basis of a shortest arrival time calculated by a shortest arrival time calculation unit and a passage time at each point of the host vehicle acquired by a vehicle route candidate acquisition unit. In this way, even if a locus to be taken by the other object is not generated, the shortest arrival time at which the other object can arrive at each point of the route candidate of the host vehicle with a predetermined first displacement is calculated, thereby determining the possibility of collision between the host vehicle and the other object. Therefore, it is possible to reduce a computational load for determining collision and to accurately determine collision between the host vehicle and the other object.

Abstract: An own vehicle risk acquiring ECU 1 acquires a predicted track of an own vehicle and calculates and acquires a plurality of tracks of the other vehicle about the own vehicle. According to the predicted track of the own vehicle and the plurality of tracks of the other vehicle, a collision probability of the own vehicle is calculated as a collision possibility.

Abstract: A host-vehicle risk acquisition device includes a host-vehicle path acquisition portion that acquires a path of a host-vehicle, and an obstacle path acquisition portion that acquires a plurality of paths of an obstacle existing around the host-vehicle. A collision risk acquisition portion acquires an actual collision risk, which is a collision risk between the host-vehicle and the obstacle when the host-vehicle is in a travel state based on the path of the host-vehicle and the plurality of paths of the obstacle. An offset risk acquisition portion acquires an offset risk, which is a collision risk between the host-vehicle and the obstacle in an offset travel state, which is offset from the travel state of the host-vehicle.

Abstract: An environment prediction device can acquire sufficient information regarding the behavior of an object in the vicinity of a host-vehicle for appropriate traveling assistance. An environment prediction device 1 includes a road information acquisition section 4 which acquires road information regarding a road A, a host-vehicle position prediction section 61 which predicts the position of a host-vehicle 81 after a predetermined time has elapsed, and a prediction period setting section 62 which sets a prediction period T on the basis of the road information and the position of the host-vehicle 81 after the predetermined time has elapsed. With this configuration, it is possible to acquire sufficient information regarding the behavior of an object in the vicinity of the host-vehicle.

Abstract: A light-blocking member for optical instruments having improved abrasion resistance and adhesiveness while having high sliding properties and maintaining physical properties of a light-shielding layer, such as light-shielding properties and delustering properties, is provided. A light-blocking member for optical instruments can include a film substrate 2 and a light-shielding layer formed on at least one surface of the substrate. The light-shielding layer can include a binder resin, carbon black, a particulate lubricant and fine particles. Contents of the binder resin and particulate lubricant are 65 wt % or higher and 5 to 15 wt %, respectively. As the particulate lubricant, those having a higher density than that of the fine particles can be used.

Abstract: Disclosed is a route evaluation device that enables traveling along a route in consideration of an operation of the driver of another vehicle, and can realize a safer traffic environment. A route evaluation device includes a route candidate generation section that generates route candidates of a host-vehicle, a route prediction section that predicts routes of another vehicle, a classification section that classifies the interference states of the route candidates of the host-vehicle and the predicted routes of another vehicle into a plurality of interference forms, and a route evaluation section that evaluates the routes of the host-vehicle on the basis of the interference forms classified by the classification section.

Abstract: A movement region prediction apparatus includes a mobile body detection device that detects a mobile body around a host vehicle; a prediction device that predicts a movement region of the detected mobile body; and a degree-of-normality acquisition device that acquires degree of normality of a situation of movement of the detected mobile body. The prediction device has a plurality of movement prediction models for predicting the movement region of the mobile body, and selects a movement prediction model from the plurality of movement prediction models based on the degree of normality acquired by the degree-of-normality acquisition device, and predicts the movement region of the mobile body using the selected movement prediction model.

Abstract: A movable area acquisition ECU 1 compares a possible path for a host vehicle and a predicted path of another vehicle in a travel area of the host vehicle with each other to obtain a possibility of collision between the two vehicles, thus computing a degree of danger to the host vehicle. If the degree of danger to the host vehicle exceeds a predetermined threshold, the travel area is extended and then a degree of danger to the host vehicle is computed and acquired.

Abstract: An environment prediction device can acquire sufficient information regarding the behavior of an object in the vicinity of a host-vehicle for appropriate traveling assistance. An environment prediction device 1 includes a road information acquisition section 4 which acquires road information regarding a road A, a host-vehicle position prediction section 61 which predicts the position of a host-vehicle 81 after a predetermined time has elapsed, and a prediction period setting section 62 which sets a prediction period T on the basis of the road information and the position of the host-vehicle 81 after the predetermined time has elapsed. With this configuration, it is possible to acquire sufficient information regarding the behavior of an object in the vicinity of the host-vehicle.

Abstract: The present invention provides a mercury removal system and method for effectively removing a mercury component, which is present in a gas stream in an extremely small amount in wet gas cleaning. The mercury removal system in wet gas cleaning includes a water washing tower for introducing therein a target gas containing a mercury component and transferring the mercury component into an absorbing solution, a flash drum (10) for flashing the absorbing solution discharged from the water washing tower to separate the absorbing solution into a gas component and waste water, an oxidation treatment means (1) for adding an oxidizing agent to the absorbing solution at the preceding stage of the flash drum, and a waste water treatment means for subjecting to coagulation sedimentation treatment the separated waste water containing the mercury component at the following stage of the flash drum to dispose of the mercury component as sludge.

Abstract: An object detection device can acquire information of an object in the vicinity of a host-vehicle for appropriate traveling assistance. An object detection device 1 includes a vehicle state detection section 2, an environmental situation acquisition section 3, a road information acquisition section 4, a detection control section 6, and a detection section 7. A host-vehicle state prediction section 61 acquires a target state of a host-vehicle 81. The detection section 7 detects an object. A parameter setting section 63 switches the detection characteristic of the object in the detection section 7 in accordance with the target state.

Abstract: A transmission screen through which an observer can see the side of the screen opposite to the observer side, and which has a sufficient viewing angle is provided. The transmission screen is a transmission screen 1 having a light diffusing layer 2 comprising a transparent binder and light diffusing elements contained in the binder, and the transmission screen is constituted so that the light diffusing elements should have a relative refractive index n of 0.75 or smaller or 1.25 or larger relative to refractive index of the transparent binder, both surfaces of the transmission screen 1 should be substantially smooth, and the transmission screen should have a total haze (JIS K7136:2000) of 10 to 85%.