Time-of-flight camera system
The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.
1. A sensor device comprising:
a plurality of sensors, the plurality of sensors including a time-of-flight (TOF) sensor configured to detect a distance to an object and an image sensor configured to capture an image of the object, wherein the TOF sensor and the image sensor are disposed on a common substrate and are configured to sense the object simultaneously; and
circuitry configured to drive a first sensor of the plurality of sensors with first driving parameters and to drive a second sensor of the plurality of sensors with second driving parameters.
2. The sensor device according to claim 1 , wherein the second driving parameters are different than the first driving parameters.
3. The sensor device according to claim 1 , wherein the first driving parameters and the second driving parameters comprise at least two different frequencies for implementing a dealiasing algorithm.
4. The sensor device according to claim 1 , further comprising an array of lenses, each lens of the array of lenses being associated with a respective sensor of the plurality of sensors.
5. The sensor device according to claim 3 , wherein the at least two different frequencies comprise modulation frequencies configured to control a timing of the imaging of the scene.
6. The sensor device according to claim 3 , wherein the dealiasing algorithm includes instructions to distinguish between two potential distance measurements generated by the TOF sensor.
7. The sensor device according to claim 1 , wherein the first sensor and the second sensor are TOF sensors.
8. The sensor device according to claim 7 , wherein the circuitry is further configured to generate a dealiased depth map by combining the distance measurements from the first sensor and the second sensor.
9. The sensor device according to claim 1 , wherein the circuitry is further configured to implement at least two dealiasing algorithms.
10. The sensor device according to claim 1 , wherein the circuitry is disposed on the common substrate.
11. The sensor device according to claim 1 , wherein the common substrate is a silicon substrate.
12. The sensor device according to claim 1 , wherein the image sensor includes color filters corresponding to R, G, and B colors, and the TOF sensor further includes an infrared (IR) filter.
13. The sensor device according to claim 1 , wherein a resolution of distance information detected by the TOF sensor is different from a resolution of the image captured by the image sensor.
14. The sensor device according to claim 13 , wherein the resolution of the image sensor is higher than the resolution of the distance information.
15. The sensor device according to claim 1 , wherein a number of pixels of the image sensor is at least four times higher than a number of pixels of the TOF sensor.
16. The sensor device according to claim 1 , wherein the circuitry is further configured to perform a fusion process of the distance information and the image, and output a fusion image.
17. A method of operating a sensor device comprising a plurality of sensors, the method comprising:
detecting a distance to an object using a time-of-flight (TOF) sensor;
capturing an image of the object using an image sensor;
driving, using circuitry, a first sensor of the plurality of sensors with first driving parameters; and
driving, using the circuitry, a second sensor of the plurality of sensors with second driving parameters; wherein:
the TOF sensor and the image sensor are disposed on a common substrate and are configured to sense the object simultaneously.
18. The method of claim 17 , further comprising implementing a dealiasing algorithm using the first driving parameters and the second driving parameters, the first driving parameters and the second driving parameters comprising at least two different frequencies.
19. The method of claim 18 , wherein implementing the dealiasing algorithm comprises:
implementing instructions to distinguish between two potential distance measurements generated by the TOF sensor; and
generating a dealiased depth map by combining depth measurements from the first sensor and the second sensor.
20. The method of claim 17 , wherein:
detecting the distance to the object using the TOF sensor comprises detecting the distance to the object with a resolution of distance information; and
capturing the image of the object using the image sensor comprises capturing the image of the object with a resolution of image information,
wherein the resolution of the image information is higher than the resolution of the distance information.