Determining travel path features based on retroreflectivity
First Claim
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1. A method comprising:
- receiving reflected light data points collected at a light detection and ranging device;
identifying, by a processor, an energy level of the reflected light data points;
calculating, by the processor, a ratio of the energy level of the reflected light data points to an emitted energy level of the light detection and ranging device;
identifying a subset of the reflected light data points with energy levels that exceed a first return intensity ratio and are less than a second return intensity ratio; and
identifying a predetermined shape data model that corresponds to the subset of the reflected light data points.
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Abstract
Systems, devices, features, and methods for determining geographic features corresponding to a travel path to develop a map database, such as a navigation database, are disclosed. For example, one method comprises emitting light from a light source, such as a LIDAR device, while on the travel path. Returning light is received based on the emitted light. The returning light is used to generate data points representing an area about the travel path. The data points are filtered as a function of a return intensity value to identify a feature associated with the travel path, in which the feature is treated with a retroreflective substance.
56 Citations
20 Claims
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1. A method comprising:
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receiving reflected light data points collected at a light detection and ranging device; identifying, by a processor, an energy level of the reflected light data points; calculating, by the processor, a ratio of the energy level of the reflected light data points to an emitted energy level of the light detection and ranging device; identifying a subset of the reflected light data points with energy levels that exceed a first return intensity ratio and are less than a second return intensity ratio; and identifying a predetermined shape data model that corresponds to the subset of the reflected light data points. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 19, 20)
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10. An apparatus comprising:
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at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following; calculate a ratio of an energy level of reflected light data points to an emitted energy level of a light collection device; identify a subset of the reflected light data points that exceed a first ratio threshold and are less than a second ratio threshold, wherein the first and second ratio thresholds are a function of retroreflectivity; identify a predetermined shape data model that corresponds to the subset of the reflected light data points; and store, in a map database, the predetermined shape data model that corresponds to the subset of the reflected light data points at a travel path associated with the reflected light data points. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A method comprising:
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receiving position data for a device; accessing a map database based on the position data; and receiving a travel path image including a predetermined shape data model for a lane marking that corresponds to a first subset of reflected data points identified from a comparison of emitted energy and reflected energy light data points which exceed a first ratio threshold and are less than a second ratio threshold, wherein the light data points are collected by a light detection and ranging device. - View Dependent Claims (18)
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Specification