Routing of an autonomous vehicle in a flood condition
Systems and techniques are provided for routing an autonomous vehicle (AV) in a flood condition. An example method can include collecting sensor data from one or more AVs, wherein the sensor data includes measurements associated with a level of precipitation in one or more locations; receiving map data descriptive of an elevation of ground at the one or more locations; determining that the level of precipitation in the one or more locations relative to the elevation of ground at the one or more locations is higher than a threshold; and transmitting an alert signal to the one or more AVs, the alert signal notifying of a flood condition at the one or more locations.
1. A system comprising:
a memory; and
one or more processors coupled to the memory, wherein the one or more processors are configured to:
collect sensor data from a Radio Detection and Ranging (RADAR) sensor of one or more autonomous vehicles (AVs), wherein the RADAR sensor measures radar waves that reflect off of precipitation, and wherein the sensor data includes measurements associated with a level of precipitation representing a water level on a ground surface at one or more locations;
receive map data descriptive of an elevation of ground at the one or more locations;
determine that the level of precipitation in the one or more locations relative to the elevation of ground at the one or more locations is higher than a threshold; and
transmit an alert signal to the one or more AVs, the alert signal notifying of a flood condition at the one or more locations.
2. The system of claim 1 , wherein the alert signal includes a visualization of the flood condition at the one or more locations on a map.
3. The system of claim 1 , wherein the one or more processors are further configured to receive absorbability data indicative of an absorbability of ground from water in the one or more locations.
4. The system of claim 3 , wherein the one or more processors are further configured to determine a progression rate of precipitation based on the sensor data from the one or more AVs, the elevation of ground at the one or more locations, and the absorbability data.
5. The system of claim 1 , wherein the one or more processors are further configured to:
identify a user associated with at least one AV of the one or more AVs, wherein the user is located within a threshold distance of at least one location of the one or more locations; and
dispatch the at least one AV to pick up the user.
6. The system of claim 1 , wherein at least one of the one or more AVs is associated with a ridehail service, and the one or more processors are further configured to determine a pickup location or a drop-off location that minimizes a walking distance between a user and the pickup location or between a user destination and the drop-off location based on the level of precipitation.
7. A method comprising:
collecting sensor data from a Radio Detection and Ranging (RADAR) sensor of one or more autonomous vehicles (AVs), wherein the RADAR sensor measures radar waves that reflect off of precipitation, and wherein the sensor data includes measurements associated with a level of precipitation representing a water level on a ground surface at one or more locations;
receiving map data descriptive of an elevation of ground at the one or more locations;
determining that the level of precipitation in the one or more locations relative to the elevation of ground at the one or more locations is higher than a threshold; and
transmitting an alert signal to the one or more AVs, the alert signal notifying of a flood condition at the one or more locations.
8. The method of claim 7 , wherein the alert signal includes a visualization of the flood condition at the one or more locations on a map.
9. The method of claim 7 , further comprising receiving absorbability data indicative of an absorbability of ground from water in the one or more locations.
10. The method of claim 9 , further comprising determining a progression rate of precipitation based on the sensor data from the one or more AVs, the elevation of ground at the one or more locations, and the absorbability data.
11. The method of claim 7 , further comprising:
identifying a user associated with at least one AV of the one or more AVs, wherein the user is located within a threshold distance of at least one location of the one or more locations; and
dispatching the at least one AV to pick up the user.
12. The method of claim 7 , wherein at least one of the one or more AVs is associated with a ridehail service, and further comprising determining a pickup location or a drop-off location that minimizes a walking distance between a user and the pickup location or between a user destination and the drop-off location based on the level of precipitation.
13. A non-transitory computer-readable medium having stored thereon instructions which, when executed by one or more processors, cause the one or more processors to:
collect sensor data from a Radio Detection and Ranging (RADAR) sensor of one or more autonomous vehicles (AVs), wherein the RADAR sensor measures radar waves that reflect off of precipitation, and wherein the sensor data includes measurements associated with a level of precipitation representing a water level on a ground surface at one or more locations;
receive map data descriptive of an elevation of ground at the one or more locations;
determine that the level of precipitation in the one or more locations relative to the elevation of ground at the one or more locations is higher than a threshold; and
transmit an alert signal to the one or more AVs, the alert signal notifying of a flood condition at the one or more locations.
14. The non-transitory computer-readable medium of claim 13 , wherein the alert signal includes a visualization of the flood condition at the one or more locations on a map.
15. The non-transitory computer-readable medium of claim 13 , comprising further instructions configured to cause the computer or the processor to receive absorbability data indicative of an absorbability of ground from water in the one or more locations.
16. The non-transitory computer-readable medium of claim 15 , comprising further instructions configured to cause the computer or the processor to determine a progression rate of precipitation based on the sensor data from the one or more AVs, the elevation of ground at the one or more locations, and the absorbability data.
17. The non-transitory computer-readable medium of claim 13 , comprising further instructions configured to cause the computer or the processor to:
identify a user associated with at least one AV of the one or more AVs, wherein the user is located within a threshold distance of at least one location of the one or more locations; and
dispatch the at least one AV to pick up the user.
18. The non-transitory computer-readable medium of claim 13 , wherein at least one of the one or more AVs is associated with a ridehail service, and comprising further instructions configured to cause the computer or the processor to determine a pickup location or a drop-off location that minimizes a walking distance between a user and the pickup location or between a user destination and the drop-off location based on the level of precipitation.