Rotating LIDAR with co-aligned imager
Example implementations are provided for an arrangement of co-aligned rotating sensors. One example device includes a light detection and ranging (LIDAR) transmitter that emits light pulses toward a scene according to a pointing direction of the device. The device also includes a LIDAR receiver that detects reflections of the emitted light pulses reflecting from the scene. The device also includes an image sensor that captures an image of the scene based on at least external light originating from one or more external light sources. The device also includes a platform that supports the LIDAR transmitter, the LIDAR receiver, and the image sensor in a particular relative arrangement. The device also includes an actuator that rotates the platform about an axis to adjust the pointing direction of the device.
1. A method, comprising:
generating, using a light detection and ranging (LIDAR) sensor coupled to a vehicle, a point cloud comprising a three-dimensional map of points indicative of locations of reflective features in an environment;
capturing, using an image sensor coupled to the vehicle, an image of a portion of the environment, wherein the image comprises a plurality of composite pixels, each composite pixel being associated with:
one or more intensity values obtained by a first element of the image sensor, and
one or more intensity values obtained by at least a second element of the image sensor, wherein a distance from the second element of the image sensor to the first element of the image sensor is determined in view of a scanning frequency of the image sensor;
mapping one or more composite pixels in the image to one or more points in the point cloud to provide combined sensor data; and
using the combined sensor data to determine a driving path for the vehicle.
2. The method of claim 1 , wherein each of the one or more intensity values is associated with a respective spectral portion of light captured by the image sensor.
3. The method of claim 1 , wherein the combined sensor data includes spectral information determined using the image sensor and distance information determined using the LIDAR sensor.
4. The method of claim 1 , further comprising:
determining a path of motion of an object associated with the one or more pixels based on a plurality of images captured using the image sensor.
5. The method of claim 4 , further comprising:
determining a distance to the object based on the one or more points in the point cloud, wherein the path of motion of the object is further based on the determined distance to the object.
6. The method of claim 1 , further comprising:
simultaneously rotating the LIDAR sensor and the image sensor about an axis.
7. A system, comprising:
a light detection and ranging (LIDAR) sensor configured to generate a point cloud comprising a three-dimensional map of points indicative of locations of reflective features in an environment;
an image sensor configured to capture an image of a portion of the environment, wherein the image comprises a plurality of composite pixels, each composite pixel being associated with:
one or more intensity values obtained by a first element of the image sensor, and
one or more intensity values obtained by at least a second element of the image sensor, wherein a distance from the second element of the image sensor to the first element of the image sensor is determined in view of a scanning frequency of the image sensor; and
a controller configured to map one or more composite pixels in the image to one or more points in the point cloud to provide combined sensor data.
8. The system of claim 7 , wherein the LIDAR sensor and the image sensor are coupled to a vehicle.
9. The system of claim 8 , further comprising:
a navigation and pathing system configured to use the combined sensor data to determine a driving path for the vehicle.
10. The system of claim 7 , wherein the combined sensor data includes spectrum information determined using the image sensor and distance information determined using the LIDAR sensor.
11. The system of claim 7 , wherein the controller is further configured to determine a path of motion of an object associated with the one or more pixels based on a plurality of images captured using the image sensor.
12. The system of claim 11 , wherein the path of motion of the object is further based on a distance to the object determined based on the one or more points in the point cloud.
13. The system of claim 7 , further comprising:
an actuator that simultaneously rotates the LIDAR sensor and the image sensor about an axis.
14. A non-transitory computer readable medium having stored therein instructions executable by a computing device to cause the computing device to perform operations, wherein the operations comprise:
generating, using a light detection and ranging (LIDAR) sensor coupled to a vehicle, a point cloud comprising a three-dimensional map of points indicative of locations of reflective features in an environment;
capturing, using an image sensor coupled to the vehicle, an image of a portion of the environment, wherein the image comprises a plurality of composite pixels, each composite pixel being associated with:
one or more intensity values obtained by a first element of the image sensor, and
one or more intensity values obtained by at least a second element of the image sensor, wherein a distance from the second element of the image sensor to the first element of the image sensor is determined in view of a scanning frequency of the image sensor;
mapping one or more composite pixels in the image to one or more points in the point cloud to provide combined sensor data; and
using the combined sensor data to determine a driving path for the vehicle.
15. The non-transitory computer readable medium of claim 14 , wherein each of the one or more intensity values is associated with a respective spectral portion of light captured by the image sensor.
16. The non-transitory computer readable medium of claim 14 , wherein the combined sensor data includes spectral information determined using the image sensor and distance information determined using the LIDAR sensor.
17. The non-transitory computer readable medium of claim 14 , wherein the operations further comprise:
determining a path of motion of an object associated with the one or more pixels based on a plurality of images captured using the image sensor.
18. The non-transitory computer readable medium of claim 17 , wherein the operations further comprise:
determining a distance to the object based on the one or more points in the point cloud, wherein the path of motion of the object is further based on the determined distance to the object.