Vehicle having center of gravity load estimation
A vehicle is provided including a plurality of wheel assemblies, a body supported on the plurality of wheel assemblies and having a cargo area for receiving a cargo load, a load sensing system configured to sense a vehicle load and generate vehicle load signals indicative of the sensed vehicle load, and an object recognition system configured to detect one or more objects in the cargo area and recognize the one or more objects. The vehicle also includes a controller processing the recognized one or more objects and determining dimensions of the cargo load and an estimated center of gravity of cargo load based on the dimensions of the one or more objects in the cargo area, and generates an output indicative of the estimated center of gravity of the cargo load.
1 . A vehicle comprising:
a plurality of wheel assemblies;
a body supported on the plurality of wheel assemblies and having a cab and a cargo bed providing a cargo area for receiving a cargo load;
a load sensing system configured to sense a vehicle load and generate vehicle load signals indicative of the sensed vehicle load;
an object recognition system comprising a rearward facing first imaging device located on the cab proximate to a CHMSL which is located forward and above the cargo bed and configured to capture first images of the cargo area and a communication device configured to receive second images of the cargo area captured by a second imaging device located on another motor vehicle having wheel assemblies and located behind the vehicle, wherein the first and second images are used to detect one or more objects in the cargo area and recognize the one or more objects; and
a controller processing the recognized one or more objects and determining dimensions of the cargo load and an estimated center of gravity of the cargo load based on the dimensions of the one or more objects in the cargo area, the controller generating an output indicative of the estimated center of gravity of the cargo load, wherein the controller determines the dimensions of the cargo load and the estimated center of gravity of the cargo load based on the dimensions of the one or more objects detected with the first imaging device and further determines if the first imaging device is blocked and, if so, determines the dimensions of the cargo load and the estimated center of gravity of the cargo load based on the second images captured by the second imaging device.
2 . The vehicle of claim 1 , wherein the controller estimates the center of gravity of the cargo load using a parallel-axis theorem.
3 . The vehicle of claim 1 , wherein the controller estimates the center of gravity of the cargo load based on known shapes and sizes of the detected objects in the load area.
4 . The vehicle of claim 1 , wherein the controller further determines a center of gravity of the vehicle based on the estimated center of gravity of the cargo load.
5 . The vehicle of claim 1 , wherein the load sensing system comprises a plurality of ride height load sensors.
6 . The vehicle of claim 1 , wherein the generated images are compared to known images of objects to estimate the cargo load.
7 . A vehicle comprising:
a plurality of wheel assemblies;
a body supported on the plurality of wheel assemblies and having a cab and a cargo bed providing a cargo area for receiving a cargo load;
a CHMSL located on the cab forward and above the cargo bed;
a load sensing system configured to sense a vehicle load and generate vehicle load signals indicative of the sensed vehicle load;
an object recognition system comprising a rearward facing first imaging device located proximate to the CHMSL configured to capture first images of the cargo area and a communication device configured to receive second images captured by a second imaging device on another motor vehicle having wheel assemblies and located behind the vehicle, wherein the first and second images are used to detect one or more objects in the cargo area and to recognize the one or more objects; and
a controller processing the recognized one or more objects and determining dimensions of objects in the cargo area, the controller further determining an estimated size and distribution of the cargo load and an estimated center of gravity of the cargo load based on determined dimensions of the objects in the cargo area, wherein the controller estimates the center of gravity of the cargo load using a parallel-axis theorem, the controller generating an output indicative of the estimated center of gravity of the cargo load, wherein the controller determines the dimensions of the cargo load and the estimated center of gravity of the cargo load based on the dimensions of the one or more objects detected with the first imaging device and further determines if the first imaging device is blocked and, if so, determines the dimensions of the cargo load and the estimated center of gravity of the cargo load based on the second images captured by the second imaging device.
8 . A method of estimating a center of gravity of a cargo load on a vehicle having a cab and a cargo bed, the method comprising:
sensing a vehicle load of the vehicle and generating vehicle load signals indicative of the sensed vehicle load;
capturing first images of the cargo load in the cargo bed providing a cargo area of the vehicle with a rearward facing first imaging device proximate to a CHMSL located on the cab forward and above the cargo bed;
receiving second images of the cargo bed from a second imaging device located on another motor vehicle having wheel assemblies and a forward facing imaging device and located behind the vehicle;
processing the first and second images to determine estimated dimensions of the cargo load;
estimating a center of gravity of the cargo load based on the estimated dimensions of the cargo load; and
generating an output indicative of the estimated center of gravity of the cargo load, wherein the estimated dimensions of the cargo load and the estimated center of gravity of the cargo load are based on dimensions of one or more objects detected with the first imaging device and, if the first imaging device is blocked, the dimensions of the cargo load and the estimated center of gravity of the cargo load are determined based on the second images received from the second imaging device.
9 . The method of claim 8 , wherein the step of estimating the center of gravity of the cargo load comprises using a parallel-axis theorem.
10 . The method of claim 8 , wherein the controller further determines a center of gravity of the vehicle based on the estimated center of gravity of the cargo load.
11 . The method of claim 8 , wherein the step of capturing first images of one or more objects in the cargo area comprises generating the first images of the load in the cargo area with a camera.
12 . The method of claim 11 , wherein the step of estimating dimensions of the cargo load comprises comparing the first and second images of the cargo area to known images of objects.
13 . The method of claim 8 further comprising the step of displaying the output.