Systems and methods for monitoring an object in proximity to a vehicle

1 . A vehicle comprising:

a sensor unit configured to capture sensor inputs associated with an object external to the vehicle and located at a site in proximity to the vehicle, the object comprising infrastructure or equipment deployed at the site;

a processor communicatively coupled with the sensor unit, wherein the processor is configured to:

obtain user inputs indicating the object to be monitored;

obtain the sensor inputs from the sensor unit responsive to obtaining the user inputs;

monitor an object state based on the sensor inputs;

determine a change in the object state based on the monitoring;

determine, using artificial intelligence or machine learning, that a detected change in the object state represents a condition of concern relative to an initial object state; and

output an alert notification responsive to determining the change in the object state.

2 . The vehicle of claim 1 , wherein the processor obtains the user inputs from a user via a user device or a vehicle Human-Machine Interface (HMI).

3 . The vehicle of claim 1 , wherein the sensor unit comprises at least one of a camera, a radio detection and ranging (radar) sensor, or a light detection and ranging (lidar) sensor, and wherein the sensor inputs comprise object images.

4 . The vehicle of claim 3 , wherein the processor is further configured to:

determine an initial object location and an initial object structure associated with the object based on the object images;

determine a change in at least one of the initial object location or the initial object structure based on the monitoring of the object images; and

determine the change in the object state responsive to determining that at least one of the initial object location or the initial object structure has changed.

5 . The vehicle of claim 1 , wherein the sensor unit comprises a thermal camera, and wherein the sensor inputs comprise object thermal images.

6 . The vehicle of claim 5 , wherein the processor is further configured to:

determine an initial object thermal profile associated with the object based on the object thermal images, wherein the initial object thermal profile is associated with an amount of heat generated by the object;

determine a change in the initial object thermal profile based on the monitoring of the object thermal images; and

determine the change in the object state responsive to determining that the initial object thermal profile has changed.

7 . The vehicle of claim 1 , wherein the processor is further configured to:

obtain an information associated with weather conditions in proximity to the vehicle;

monitor the information associated with weather conditions;

determine a change in weather conditions in proximity to the vehicle based on the monitoring of the information associated with weather conditions; and

output the alert notification responsive to determining the change in weather conditions.

8 . The vehicle of claim 1 , wherein the sensor unit comprises a microphone configured to capture a noise level emanating from the object, and wherein the sensor inputs comprise the noise level.

9 . The vehicle of claim 8 , wherein the processor is further configured to:

determine an initial noise level associated with the object based on the sensor inputs;

determine a change in the initial noise level based on the monitoring of the noise level; and

determine the change in the object state responsive to determining that the initial noise level has changed.

10 . The vehicle of claim 1 , wherein the processor outputs the alert notification via at least one of a user device, a vehicle Human-Machine Interface (HMI), a vehicle speaker, or a vehicle light.

11 . The vehicle of claim 1 further comprising a transceiver, wherein the processor is further configured to transmit the alert notification to a server via the transceiver.

12 . The vehicle of claim 1 , wherein the user inputs comprise information associated with an error state associated with the object, and wherein the processor is further configured to:

determine that the object state has changed to the error state based on the monitoring; and

output the alert notification responsive to determining that the object state has changed to the error state.

13 . The vehicle of claim 1 , wherein the processor is further configured to:

determine a field of view (FOV) associated with the sensor unit;

determine that the object is not in the FOV; and

cause a vehicle movement such that the object is within the FOV, responsive to determining that the object is not in the FOV.

14 . The vehicle of claim 1 , wherein the processor is further configured to:

determine that the object is powered by a vehicle power source; and

disable an energy transfer to the object responsive to determining the change in the object state.

15 . A method for monitoring an object in proximity to a vehicle, the method comprising:

obtaining, by a processor, user inputs indicating an object external to the vehicle and located at a site in proximity to the vehicle, the object comprising infrastructure or equipment deployed at the site;

obtaining, by the processor, sensor inputs from a sensor unit responsive to obtaining the user inputs, wherein the sensor unit is configured to capture the sensor inputs associated with the object;

monitoring, by the processor, an object state based on the sensor inputs;

determining, by the processor, a change in the object state based on the monitoring and using artificial intelligence or machine learning, determining that a detected change in the object state represents a condition of concern relative to an initial object state; and

outputting, by the processor, an alert notification responsive to determining the change in the object state.

16 . The method of claim 15 , wherein the sensor unit comprises at least one of a camera, a radio detection and ranging (radar) sensor, or a light detection and ranging (lidar) sensor, and wherein the sensor inputs comprise object images.

17 . The method of claim 16 further comprising:

determining an initial object location and an initial object structure associated with the object based on the object images;

determining a change in at least one of the initial object location or the initial object structure based on the monitoring of the object images; and

determining the change in the object state responsive to determining that at least one of the initial object location or the initial object structure has changed.

18 . The method of claim 15 , wherein the sensor unit comprises a thermal camera, and wherein the sensor inputs comprise object thermal images.

19 . The method of claim 18 further comprising:

determining an initial object thermal profile associated with the object based on the object thermal images, wherein the initial object thermal profile is associated with an amount of heat generated by the object;

determining a change in the initial object thermal profile based on the monitoring of the object thermal images; and

determining the change in the object state responsive to determining that the initial object thermal profile has changed.

20 . A non-transitory computer-readable storage medium having instructions stored thereupon which, when executed by a processor, cause the processor to:

obtain user inputs indicating an object external to the vehicle and located at a site in proximity to the vehicle, the object comprising infrastructure or equipment deployed at the site;

obtain sensor inputs from a sensor unit responsive to obtaining the user inputs, wherein the sensor unit is configured to capture the sensor inputs associated with the object;

monitor an object state based on the sensor inputs;

determine a change in the object state based on the monitoring;

determine, using artificial intelligence or machine learning, that a detected change in the object state represents a condition of concern relative to an initial object state; and

output an alert notification responsive to determining the change in the object state.