Abstract:
A drowsiness-estimating device capable of improving the precision of drowsiness estimation by eliminating the effect of individual differences. In the device, a recurrence required time-calculating part (103) calculates the recurrence required time, which is the time needed, after a detection time when an action is detected, for a drowsiness estimation parameter value acquired after the detection time to return to the value of the drowsiness estimation parameter acquired before the detection time. A drowsiness-estimating part (104) estimates the level of drowsiness of the drowsiness-estimation subject on the basis of the calculated recurrence required time. To be specific, the drowsiness-estimating part (104) maintains a drowsiness level-estimating table in which each of multiple time ranges is correlated with a possible drowsiness level, and specifies a possible drowsiness level that corresponds to the time range, among the multiple time ranges, with which the recurrence required time is associated.
Abstract:
A drowsiness-estimating device capable of improving the precision of drowsiness estimation by eliminating the effect of individual differences. In the device, a recurrence required time-calculating part (103) calculates the recurrence required time, which is the time needed, after a detection time when an action is detected, for a drowsiness estimation parameter value acquired after the detection time to return to the value of the drowsiness estimation parameter acquired before the detection time. A drowsiness-estimating part (104) estimates the level of drowsiness of the drowsiness-estimation subject on the basis of the calculated recurrence required time. To be specific, the drowsiness-estimating part (104) maintains a drowsiness level-estimating table in which each of multiple time ranges is correlated with a possible drowsiness level, and specifies a possible drowsiness level that corresponds to the time range, among the multiple time ranges, with which the recurrence required time is associated.
Abstract:
A detection device capable of reliably detecting an object to be detected. An intersection region pattern setting unit (106) sets a configuration pattern of a first intersection region pattern group in sequence for each unit image pair. Each intersection region pattern is defined by set image information which denotes locations and sizes of regions (where n is a natural number greater than 1) within respective unit images (e.g., unit image plane coordinates), as well as whether each region is set within either or both of a first unit image and a second unit image. A detection unit (108) detects the object to be detected, based on a total feature value relating to each configuration pattern of the first intersection region pattern group, computed by a feature value computation unit (107), and a strong identification apparatus configured from a plurality of weak identification apparatuses and stored in an identification apparatus storage unit (112).
Abstract:
A traveling information providing device is provided in which a surrounding information corrector acquires surrounding information on the condition surrounding a vehicle equipped with the device. An object extractor extracts a safety confirmation object the safety of which must be confirmed by a driver from the surrounding information acquired by the surrounding information collector. A line-of-sight detector detects a line-of-sight direction of the driver. A visibility calculator receives the extracted safety confirmation object and the line-of-sight direction of the driver and calculates visibility in consideration of the driver's peripheral vision with respect to the safety confirmation object according to the distance or the angle from the driver's line-of-sight direction to the object. An information presenter presents safety confirmation to the driver depending on the calculated visibility.
Abstract:
A dangerous drive predicting apparatus is provided which is capable of rapidly recognizing a future situation of the own vehicle by other vehicles. The dangerous drive predicting apparatus is equipped with: drive information detecting section 110 for detecting drive information containing at least one of a drive action and vehicle information; traffic environment detecting section 120 for detecting a traffic environment around a first vehicle; driving characteristic producing/storing section 130 for producing and storing a driving characteristic every traffic environment based upon the drive information and the traffic environment; and a driving characteristic transmitting section for transmitting the driving characteristic to a second vehicle.
Abstract:
An illumination apparatus for vehicle capable of improving visibility of a driver with respect to an object of traffic environment of the periphery of a vehicle is provided. A vehicle periphery detection section 2 detects a pedestrian, a bicycle, an oncoming car, a forward running car, a sign, an indication and a traffic signal which are an object of traffic environment in the periphery of a vehicle. A vehicle operation detection section 3 acquires a speed of its own vehicle, a steering angle of steering and information about inclination (angular speed sensor) of the vehicle. An illumination section 4 irradiates the periphery of its own vehicle and the front of its own vehicle with light. A color estimation section 15 estimates a color of the object of the traffic environment detected by the vehicle periphery detection section 2. A light toning section 13 changes all or any of illuminance, luminance and color temperature K (kelvin) of the light according to the color of the object of traffic environment. A light irradiation range control section 14 controls an irradiation range of the light toned based on a position to the object of the traffic environment, the inclination, the steering angle and the vehicle speed acquired by the vehicle operation detection section 3.
Abstract:
A wakefulness-maintaining device capable of maintaining a driver's wakefulness by making the driver aware of changes in sound characteristics. A wakefulness-maintaining device (100), which maintains a person's wakefulness, wherein: a switching time control part (102) analyzes the characteristics of perceived sounds acquired by a microphone provided inside the vehicle, the perceived sounds comprising control sounds played back by the wakefulness-maintaining device (100) and environmental sounds around the person when no control sounds are being played back; an in-car sound-accumulating part (103) accumulates the perceived sounds; an acoustic pressure change-setting part (105) sets the control method to be used on the environmental sounds on the basis of the characteristics of the perceived sounds accumulated by the in-car sound-accumulating part (103); and a control sound-generating part (106) applies the control method, set by the acoustic pressure change-setting part (105), on the environmental sounds and generates control sounds.
Abstract:
An object of the invention is to provide a safety driving support apparatus capable of detecting a dangerous moving object with high accuracy at quick timing. A safety driving support apparatus 100 of the invention includes a traffic obstacle detection section 101 for detecting a traffic obstacle of the periphery of a vehicle, a speed change induced event detection section 106 for detecting an event of inducing a sudden change in behavior of a pedestrian from a traffic obstacle detected by the traffic obstacle detection section 101, a speed change detection section 102 for detecting a sudden change in behavior of a pedestrian from a traffic obstacle detected by the traffic obstacle detection section 101, and a dangerous pedestrian detection section 109 for deciding that the pedestrian is a dangerous pedestrian when the speed change detection section 102 detects a change in behavior of a pedestrian within a certain time from a point in time when a speed change induced event of a pedestrian detected by the speed change induced event detection section 106 occurs.
Abstract:
A detection device capable of reliably detecting an object to be detected. An intersection region pattern setting unit (106) sets a configuration pattern of a first intersection region pattern group in sequence for each unit image pair. Each intersection region pattern is defined by set image information which denotes locations and sizes of regions (where n is a natural number greater than 1) within respective unit images (e.g., unit image plane coordinates), as well as whether each region is set within either or both of a first unit image and a second unit image. A detection unit (108) detects the object to be detected, based on a total feature value relating to each configuration pattern of the first intersection region pattern group, computed by a feature value computation unit (107), and a strong identification apparatus configured from a plurality of weak identification apparatuses and stored in an identification apparatus storage unit (112).
Abstract:
A roadside apparatus is connected to a roadside network and an in-vehicle apparatus which carries out wireless data transfer with the roadside apparatus, and it is equipped with a specifying unit for specifying an in-vehicle apparatus by associating an IP address which was assigned with respect to each in-vehicle apparatus, and an in-vehicle apparatus identifier other than an IP address. By this configuration, between the roadside apparatus and the in-vehicle apparatus, enabled is data communication which utilized an IP series communication protocol for specifying an in-vehicle apparatus by use of an IP address which was assigned with respect to each in-vehicle apparatus, and a non-IP series communication protocol for specifying an in-vehicle apparatus by use of LID.