Abstract: The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

Abstract: A vehicle is provided with a driving environment information acquisition section, which acquires driving environment information, which is information on a driving environment of the vehicle. A center is provided with a driving environment evaluation section, which quantitatively evaluates the ease of traveling in the driving environment of the vehicle based on an analysis of the driving environment information acquired by the driving environment information acquisition section. A display section of the vehicle displays the result of evaluation by the driving environment evaluation section.

Abstract: The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

Abstract: The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

Abstract: The disclosure includes a method that includes assigning a classification to a travel route followed by a first client device based on data associated with when the first client device followed the travel route. The method may further include recommending the travel route to a second client device based on a request from the second client device for a desired travel route with the classification.

Abstract: The disclosure includes a system and method for determine a real time driving difficulty category. The method may include determining image feature vector data based on one or more features depicted in a real time image of a road scene. The image feature vector data may describe an image feature vector for an edited version of the real time image. The method may include determining offline road map data for the road scene, which includes a static label for a road included in the road scene and offline road information describing a regulatory speed limit for the road. The method may include selecting, based on the static label, a classifier for analyzing the image feature vector. The method may include executing the selected classifier to determine a real time driving difficulty category describing the difficulty for a user of the client device to drive in the road scene.

Abstract: A display section classifies evaluation values of a first traveling environment into a plurality of classes to obtain levels of ease of driving and displays the levels of ease of driving for each of unit areas including one or a plurality of areas. The display section displays levels of ease of driving calculated based on evaluation values of a second traveling environment as replacement for first unit areas including areas in a level of ease of driving displaced from a median.

Abstract: A display section classifies evaluation values of a first traveling environment into a plurality of classes to obtain levels of ease of driving and displays the levels of ease of driving for each of unit areas including one or a plurality of areas. The display section displays levels of ease of driving calculated based on evaluation values of a second traveling environment as replacement for first unit areas including areas in a level of ease of driving displaced from a median.

Abstract: The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

Abstract: A guide groove has two protrusions on a side face, and a slider has three concave grooves, into which the two protrusions are capable of being fitted, on a sidewall. When the slider is located at a lock position, the two protrusions are fitted into two of the three concave grooves on one end side of the guide groove to restrict movement of the slider. When the slider is located at an unlock position, the two protrusions are fitted into two of the three concave grooves on the other end side of the guide groove to restrict movement of the slider.

Abstract: The disclosure includes a system and method for determine a real time driving difficulty category. The method may include determining image feature vector data based on one or more features depicted in a real time image of a road scene. The image feature vector data may describe an image feature vector for an edited version of the real time image. The method may include determining offline road map data for the road scene, which includes a static label for a road included in the road scene and offline road information describing a regulatory speed limit for the road. The method may include selecting, based on the static label, a classifier for analyzing the image feature vector. The method may include executing the selected classifier to determine a real time driving difficulty category describing the difficulty for a user of the client device to drive in the road scene.

Abstract: The disclosure includes a method that includes assigning a classification to a travel route followed by a first client device based on data associated with when the first client device followed the travel route. The method may further include recommending the travel route to a second client device based on a request from the second client device for a desired travel route with the classification.

Abstract: Devices, methods, and programs acquire provided information and position information that corresponds to the provided information from a provided information storage unit. The provided information has been provided to the provided information storage unit by an information provider and stored in the provided information unit with the position information. The position information specifies a position at which the provided information was provided by the information provider. The devices, methods, and programs acquire traffic-related information from a traffic-related information distribution unit. The traffic-related information includes information that specifies an occurring traffic-related event and information that specifies a range of the occurring traffic-related event.

Abstract: A vehicle is provided with a driving environment information acquisition section, which acquires driving environment information, which is information on a driving environment of the vehicle. A center is provided with a driving environment evaluation section, which quantitatively evaluates the ease of traveling in the driving environment of the vehicle based on an analysis of the driving environment information acquired by the driving environment information acquisition section. A display section of the vehicle displays the result of evaluation by the driving environment evaluation section.

Abstract: A guide groove (31) has two protrusions (4) on a side face (311), and a slider (32) has three concave grooves (5), into which the two protrusions (4) are capable of being fitted, on a sidewall (324). When the slider (32) is located at a lock position, the two protrusions (4) are fitted into two of the three concave grooves (5) on one end side of the guide groove (31) to restrict movement of the slider (32). When the slider (32) is located at an unlock position, the two protrusions (4) are fitted into two of the three concave grooves (5) on the other end side of the guide groove (31) to restrict movement of the slider (32).

Abstract: Navigation systems, methods, and programs acquire deviated point information regarding a deviated point where a vehicle traveling a set route has deviated the route, and acquire post-deviation travel history information regarding a travel history after a deviated vehicle has deviated the route at the deviated point. The systems, methods, and programs determine based on the post-deviation travel history information for each of the deviated vehicles whether the deviated vehicle has traveled along a reroute set after deviating the route at the deviated point, and judges whether a rate of the deviated vehicles which were determined as having traveled along the reroute is a first predetermined value or more. If the rate of the deviated vehicles which were determined as having traveled along the reroute is the first predetermined value or more, the systems, methods, and programs determine that guidance of the route is not appropriate.

Abstract: The disclosure includes a method that includes determining a location that corresponds to a problematic travel condition based on data associated with when a first client device is at the location. The method may further include notifying, a second client device with a possible travel route that includes the location, that the location includes the problematic travel condition.

Abstract: A housing for an electronic device unit includes a first case and a second case that are formed in a shape of a box with one of respective surfaces thereof being opened and are formed to be a box body. The housing includes an insulating plate that extends from the opening part of the first case to a side of the second case and overlaps with a wall surface of the second case. An engaging convex part is formed on a surface where the insulating plate is overlapped and an engaging hole that engages with the engaging convex part to regulate separation of the first case and the second case is formed. The insulating plate is in a shape in which an edge of the insulating plate spreads with a predetermined width from an opening edge where the first case and the second case are butted and the engaging hole.

Abstract: In the analog current output circuit according to the present invention, a rising start position and a tilt of an internal control voltage are set such that it crosses, at the maximum of an analog output current, a load end voltage obtained when the resistance of a load is the one near the center of a specification range. According to a comparison result in a comparator, a switch causes a DC/DC converter to input a high reference voltage and causes an output transistor to output a high power supply voltage when the internal control voltage is smaller than the load end voltage and causes the DC/DC converter to input a low reference voltage and causes the output transistor to output a low power supply voltage when the internal control voltage is larger than the load end voltage.

Abstract: An analog unit having a multiple-channel configuration among analog units included in a sequencer system is such that an AC signal as a measurement target, which is captured by a CT sensor, can be directly input to each of a plurality of channels, and the analog unit includes a setting unit that sets, in an internal memory, an abnormality-determination peak current value and an abnormal peak current duration, which are applied to the AC signal as a measurement target, for each of the channels, and a detecting unit that, when the AC signal as a measurement target includes an AC signal that maintains a state where a peak value exceeds the abnormality-determination peak current value for the abnormal peak current duration, detects generation of an abnormal alternating current in each of the channels.