Methods and systems for providing depth maps with confidence estimates
An automated vehicle assistance system is provided for supervised or unsupervised vehicle movement. The system includes a control system and a first sensor system. The first sensor system may receive first image data of a scene and may output a first disparity map and a first confidence map based on the first image data. The control system may output a video stream based on the first disparity map and the first confidence map. The vehicle assistance system also may include a second sensor system that receives second image data of at least a portion of the scene that outputs a second confidence map based on second image data. The video stream may include super-frames, with each super-frame including a 2D image of the scene, a depth map corresponding to the 2D image, and a certainty map corresponding to the depth map.
1. A vision system for supervised or unsupervised movement of a vehicle, the system comprising:
a pair of camera sensors configured to capture first image data of a scene;
an auxiliary sensor configured to capture second image data of the scene; and
a sensor system configured to:
receive the first image data from the pair camera sensors,
receive the second image data from the auxiliary sensor,
calculate first distance values and first confidence values from the first image data,
generate a first distance map comprising the first distance values, and generate a first confidence map comprising the first confidence values,
generate a second distance map comprising second distance values obtained from the second image data,
fuse the first distance map with the second distance map, using the first confidence map, to obtain a fused distance map, and
output a first control signal to an electronic control unit (ECU) of the vehicle to control the vehicle based on the fused distance map.
2. The vision system of claim 1 , wherein the sensor system is configured to fuse the first distance map with the second distance map to obtain a fused distance map at least in part by:
determining whether a low-confidence portion is included in the first confidence map, the low-confidence portion including at least one confidence value below a predetermined threshold, and
if the first confidence map is determined to include the low-confidence portion, generating the fused map by replacing a portion of the first distance map corresponding to the low-confidence portion with a replacement portion obtained from the second distance map.
3. The vision system of claim 1 , wherein the first control signal is output in real time or nearly real time to when the scene is captured by the pair of camera sensors and the auxiliary sensor.
4. The vision system of claim 1 , wherein the auxiliary sensor comprises any one or any combination of:
a radar sensor,
a lidar sensor,
an auxiliary camera sensor, and
an acoustic sensor.
5. The vision system of claim 1 , wherein the sensor system is configured to determine a confidence value for each pixel of the first image data.
6. The vision system of claim 1 , wherein the sensor system is configured to determine a confidence value for each region of a plurality of regions of the first image data.
7. The visional system of claim 1 , wherein the fused distance map includes an entirety of the second distance map.
8. A method of a vision system for supervised or unsupervised movement of a vehicle, the method comprising:
receiving, from a pair of camera sensors on the vehicle, first image data captured of a scene;
receiving, from an auxiliary sensor on the vehicle, second image data captured of the scene;
calculating first distance values and first confidence values from the first image data;
generating a first distance map comprising the first distance values, and generating a first confidence map comprising the first confidence values;
generating a second distance map comprising second distance values obtained from the second image data;
fusing the first distance map with the second distance map, using the first confidence map, to obtain a fused distance map; and
outputting a first control signal to an electronic control unit (ECU) of the vehicle to control the vehicle based on the fused distance map.
9. The method of claim 8 , wherein the fusing of the first distance map with the second distance map to obtain the fused distance map comprises:
determining whether a low-confidence portion is included in the first confidence map, the low-confidence portion including at least one confidence value below a predetermined threshold, and
if the first confidence map is determined to include the low-confidence portion, generating the fused distance map by replacing a portion of the first distance map corresponding to the low-confidence portion with a replacement portion obtained from the second distance map.
10. The method of claim 8 , wherein the first control signal is output to the vehicle control system in real time or nearly real time to when the scene is captured by the pair of camera sensors and the auxiliary sensor.
11. The method of claim 8 , wherein the auxiliary sensor comprises any one or any combination of:
a radar sensor,
a lidar sensor,
an auxiliary camera sensor, and
an acoustic sensor.
12. The method of claim 8 , wherein the calculating includes determining a confidence value for each pixel of the first image data.
13. The method of claim 8 , wherein the calculating includes determining a confidence value for each region of a plurality of regions of the first image data.
14. The method of claim 8 , wherein the fused distance map includes an entirety of the second distance map.
15. A non-transitory computer-readable storage medium storing code that, when executed by a computer processor, causes the computer processor to perform a method of a vision system for supervised or unsupervised movement of a vehicle, wherein the method comprises:
calculating first distance values and first confidence values from first image data of a scene captured by a pair of camera sensors on the vehicle;
generating a first distance map comprising the first distance values, and generating a first confidence map comprising the first confidence values;
generating a second distance map comprising second distance values obtained from second image data captured of the scene by an auxiliary sensor on the vehicle;
fusing the first distance map with the second distance map, using the first confidence map, to obtain a fused distance map; and
outputting a first control signal to an electronic control unit (ECU) of the vehicle to control the vehicle based on the fused distance map.
16. The computer-readable storage medium of claim 15 , wherein the fusing of the first distance map with the second distance map to obtain the fused distance map comprises:
determining whether a low-confidence portion is included in the first confidence map, the low-confidence portion including at least one confidence value below a predetermined threshold, and
if the first confidence map is determined to include the low-confidence portion, generating the fused distance map by replacing a portion of the first distance map corresponding to the low-confidence portion with a replacement portion obtained from the second distance map.
17. The computer-readable storage medium of claim 15 , wherein the first control signal is output in real time or nearly real time to when the scene is captured by the pair of camera sensors and the auxiliary sensor.
18. The computer-readable storage medium of claim 15 , wherein the auxiliary sensor comprises any one or any combination of:
a radar sensor,
a lidar sensor,
an auxiliary camera sensor, and
an acoustic sensor.
19. The computer-readable storage medium of claim 15 , wherein the calculating includes determining a confidence value for each pixel of the first image data.
20. The computer-readable storage medium of claim 15 , wherein the calculating includes determining a confidence value for each region of a plurality of regions of the first image data.
21. A vision system for supervised or unsupervised movement of a vehicle, the system comprising:
a pair of camera sensors configured to capture first image data of a scene;
an auxiliary sensor configured to capture second image data of the scene; and
a sensor system configured to:
receive the first image data from the pair camera sensors,
receive the second image data from the auxiliary sensor,
calculate first distance values and first confidence values from the first image data,
generate a first distance map comprising the first distance values, and generate a first confidence map comprising the first confidence values,
generate a second distance map comprising second distance values obtained from the second image data, and
output a first control signal to an electronic control unit (ECU) of the vehicle to control the vehicle based on the first confidence values, the first distance values, and the second distance values.