Method for classifying obstacles
US-2016252611-A1 · Sep 1, 2016 · US
US10408937B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10408937-B2 |
| Application number | US-201615271068-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 20, 2016 |
| Priority date | Sep 20, 2016 |
| Publication date | Sep 10, 2019 |
| Grant date | Sep 10, 2019 |
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Example metal bridge detection systems and methods are described. In one implementation, a method receives LIDAR data from a LIDAR system mounted to a vehicle and receives camera data from a camera system mounted to the vehicle. The method analyzes the received LIDAR data and the camera data to identify a metal bridge proximate the vehicle. If a metal bridge is identified, the method adjusts vehicle operations to improve vehicle control as it drives across the metal bridge.
Opening claim text (preview).
The invention claimed is: 1. A method comprising: receiving first weather data; (a) determining that the first weather data indicates a likelihood of ice or snow proximate the vehicle; in response to (a) activating a metal bridge detection system and performing, by the metal bridge detection system: (i) receiving LIDAR data from a LIDAR system mounted to a vehicle; (ii) receiving camera data from a camera system mounted to the vehicle; (iii) analyzing the received LIDAR data and the camera data to identify a metal bridge proximate the vehicle; and (iv) responsive to identifying a metal bridge proximate the vehicle, adjusting vehicle operations to improve vehicle control as it drives across the metal bridge; receiving second weather data; (b) determining that the second weather data does not indicate a likelihood of ice or snow proximate the vehicle; and in response to (b) deactivating the metal bridge detection system and refraining from performing (i)-(iv) using the metal bridge detection system. 2. The method of claim 1 , further comprising receiving navigational information that indicates the existence of a bridge ahead of the vehicle. 3. The method of claim 1 , further comprising reporting the existence of the metal bridge to a shared database. 4. The method of claim 3 , wherein reporting the existence of the metal bridge to a shared database includes reporting a geographic location associated with the metal bridge. 5. The method of claim 1 , wherein adjusting vehicle operations includes: determining the vehicle's longitudinal slip; and responsive to determining a non-zero longitudinal slip, reducing the speed of the vehicle until the longitudinal slip is zero. 6. The method of claim 1 , wherein the metal bridge is a metal grate bridge. 7. The method of claim 6 , wherein at least a portion of the metal grate bridge includes a metal road surface that has apertures therethrough. 8. The method of claim 6 , wherein at least a portion of the metal grate bridge includes a metal road surface, and wherein adjusting vehicle operations includes steering the vehicle to a different lane that does not include a metal road surface. 9. The method of claim 1 , wherein the vehicle is an autonomous vehicle. 10. A method comprising: receiving LIDAR data from a LIDAR system mounted to a vehicle; receiving camera data from a camera system mounted to the vehicle; receiving first weather data; (a) determining that the first weather data indicates a likelihood of ice or snow proximate the vehicle; in response to (a) activating a metal bridge detection system and performing, by a metal bridge detection system: (i) analyzing the received LIDAR data and the camera data to identify a metal bridge proximate the vehicle; and (ii) responsive to identifying a metal bridge proximate the vehicle: determining a longitudinal slip associated with the vehicle; and responsive to determining a non-zero longitudinal slip, reducing a speed of the vehicle; receiving second weather data; (b) determining that the second weather data does not indicate a likelihood of ice or snow proximate the vehicle; and in response to (b) deactivating the metal bridge detection system and refraining from performing (i) and (ii) using the metal bridge detection system. 11. The method of claim 10 , wherein reducing a speed of the vehicle includes reducing a speed of the vehicle until a non-zero longitudinal slip is achieved. 12. The method of claim 10 , further comprising receiving navigational information that indicates the existence of a bridge ahead of the vehicle. 13. The method of claim 10 , further comprising reporting the existence of the metal bridge to a shared database. 14. The method of claim 10 , wherein the metal bridge is a metal grate bridge, and wherein at least a portion of the metal grate bridge includes a metal road surface that has apertures therethrough. 15. An apparatus comprising: a LIDAR system configured to capture LIDAR data associated with an area proximate the vehicle; a camera configured to capture camera data associated with the area proximate the vehicle; and a metal bridge detection system configured to analyze the LIDAR data and the camera data to identify a metal bridge proximate the vehicle, wherein the metal bridge detection system is further configured to adjust, responsive to identifying a metal bridge, vehicle operations to improve vehicle control as the vehicle drives across the metal bridge; a controller programmed to: receive weather data; evaluate whether that weather data indicates a likelihood of ice or snow proximate the vehicle; if the weather data indicates the likelihood of ice and snow proximate the vehicle, enable the metal bridge detection system; and if the weather data does not indicate the likelihood of ice and snow proximate the vehicle, deactivate the metal bridge detection system. 16. The apparatus of claim 15 , wherein the metal bridge detection system includes a vehicle traction manager configured to determine a longitudinal slip associated with the vehicle and adjust the vehicle's speed if the longitudinal slip is not zero. 17. The apparatus of claim 15 , further comprising a vehicle control actuator configured to perform the at least one vehicle operation by adjust the vehicle's steering or braking systems. 18. The apparatus of claim 15 , wherein the metal bridge detection system is coupled to an automated driving system.
Type of road, e.g. motorways, local streets, paved or unpaved roads · CPC title
Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders · CPC title
Controlling the steering · CPC title
Controlling the brakes · CPC title
using additional data, e.g. driver condition, road state or weather data · CPC title
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