Abstract:
A position correction device includes: a reception unit, a position acquisition unit, a determination unit and a position information transmission unit. The reception unit receives a position information S1 of a vehicle from a navigation apparatus. The position acquisition unit acquires a position information S2 of the vehicle with a higher accuracy than the navigation apparatus. The determination unit determines whether a difference between the position information S1 and the position information S2 exceeds a predetermined threshold, or determines whether a traveling road identified by the position information S1 matches a traveling road identified by the position information S2. At least when it is determined that the difference exceeds the threshold, or when it is determined that the identified traveling roads do not match, the position information transmission unit transmits the position information S2 to the navigation apparatus.
Abstract:
A road information providing apparatus includes a position detection unit, a matching unit, a reference point ranking unit, a calculation unit, a weighting unit, and a transmit unit. The position detection unit detects a present position of a vehicle. The matching unit specifies reference points based on the present position and map data. The reference point ranking unit defines a ranking of each reference point. The calculation unit calculates a priority value of each forward road link corresponding to one of the reference points. The weighting unit recalculates a weighted priority value of each forward road link based on the priority value of corresponding forward road link and the ranking of corresponding reference point. The transmit unit transmits the weighted priority value of each forward road link in order of increasing weighted priority value to an in-vehicle device.
Abstract:
An apparatus of detecting a position of a mobile body acquires a current position based on a result of accumulating heading directions and movement distances of the mobile body, acquires a modified current position acquired from modification by verifying a movement locus of the mobile body with a road shape, and compares the current position with the modified current position, thereby assigning a reliability degree to the modified current position. Alternatively, the apparatus acquires a current position based on a result of accumulating heading directions and movement distances of the mobile body, and compares the current position with a positioning result acquired based positioning satellites, thereby assigning a reliability degree to the current position.
Abstract:
A position identifying apparatus includes a position detecting unit; an information acquiring unit; a feature extracting unit; an index value calculating unit; a feature selecting unit; a correlating unit; a weight setting unit; and a correcting unit.The position detecting unit performs a map matching to detect a vehicle position on a map. The information acquiring unit acquires road information from the map. The feature extracting unit extracts features of ground object. The index value calculating unit calculates an index value representing a likelihood of a stationary object. The feature selecting unit selects feature candidates among the features having the index values larger than or equal to a predetermined likelihood of the stationary object. The correlating unit correlates the feature candidates with the road information. The weight setting unit sets weights of the feature candidates. The correcting unit corrects the position of the vehicle using the weights.
Abstract:
By a traveling lane estimation apparatus, a traveling lane estimation method, a control program, a computer-readable non-temporary storage medium, a front vehicle is recognized based on a sensing result by a periphery monitoring sensor, a front vehicle traveling trajectory is estimated based on a front vehicle position, map data including lane number information is acquired; a subject vehicle position on a map is identified, an inappropriate traveling trajectory for estimating the subject vehicle traveling lane is determined; and the subject vehicle traveling lane is estimated.
Abstract:
A self-position estimation device equipped to a vehicle: captures an image of a periphery of the vehicle; detects a state quantity of the vehicle; acquires position information indicating a position of the vehicle from a satellite system; stores map data that defines a map in which a road is expressed by a link and a node; estimate a self-position of the vehicle on the map, as an estimation position, based on the captured image, the state quantity, the position information, and the map data, respectively; recognizes a road section in which a lane quantity increases or decreases based on the captured image; and sets a weighting of the estimation position of the vehicle estimated based on the map data relatively smaller in response to a recognition of the road section in which the lane quantity increases or decreases.
Abstract:
A traveling position detection apparatus is provided. The traveling position detection apparatus includes: a map information storage part that stores map information including route information indicating a road route and lane marker information; a route position decision part that decides a route position that is a position on a road route based on a traveling speed, a traveling direction, and a positioning result; an offset position detection part that detects an offset position of a subject vehicle related to a lane markings by analyzing a road image and extracting the lane marking; and a traveling position decision part that decides the traveling position on a road based on the route position, an offset position, and lane marker information. When the offset position is not detected, the traveling position detection part estimates the traveling position based on the traveling speed, a traveling direction, and the already decided traveling position.
Abstract:
An own location estimation device for a vehicle having an in-vehicle camera and a cloud map server, is configured to: recognize an environment around the vehicle based on a state of the vehicle and sensing information by the in-vehicle camera; recognize a camera landmark based on the sensing information of the in-vehicle camera; update a cloud map in the map server; estimate a location of the vehicle based on the camera landmark and the map landmark in the cloud map; and generate a new landmark based on the sensing information of the in-vehicle camera when the map landmark does not exist in the cloud map, or when it is determined that an accuracy of the camera landmark is low.
Abstract:
A vehicle control system includes an own vehicle position calculation section that calculates an own vehicle position on a map by using a coordinate system projected by a map projection method based on conformal map projection, which has conformality and represents most regions in the world with a single system, and a vehicle control section that controls a vehicle by using the own vehicle position calculated by the own vehicle position calculation section by using the coordinate system projected by the map projection method based on conformal map projection, which has conformality and represents most regions in the world with a single system.
Abstract:
The host-vehicle-travel-position specification apparatus specifies an estimation error range of map matching reference positions based on relation between a map-matching reference trajectory and an estimation error range of estimated absolute positions. The map-matching reference trajectory is corrected to accord with the estimation error range of map matching reference positions. A vehicle travel position is specified based on the corrected map-matching reference trajectory.