System and method for selective vehicle driving assistance relative to ruts in an off-road environment
A method of providing vehicle guidance for traversal of rutted terrain may include employing a sensor network to determine characteristics of ruts in the rutted terrain, and determining a proximity value between a portion of a body of the vehicle and the rutted terrain based on the determined characteristics. The method may further include, responsive to the proximity value being below a proximity threshold, defining a strategy for positioning the vehicle at a point of increased ground clearance relative to the ruts, and providing a guidance instruction to the vehicle according to the defined strategy.
1 . A method of providing vehicle guidance for traversal of rutted terrain, the method comprising:
employing a sensor network to determine characteristics of ruts in the rutted terrain;
determining a proximity value between a portion of a body of the vehicle and the rutted terrain based on the determined characteristics;
responsive to the proximity value being below a proximity threshold, defining a strategy for positioning the vehicle at a point of increased ground clearance relative to the ruts; and
providing a guidance instruction to the vehicle according to the defined strategy,
wherein determining the characteristics of the ruts comprises determining a rut cross-section defining a variation of depth of the ruts at corresponding lateral locations at a given distance from a front of the vehicle,
wherein the strategy for positioning the vehicle comprises determining a best position of the wheels relative to the rut cross-section, and
wherein providing the guidance instruction comprises displaying, on an in-cabin display while the vehicle is within the rut, the rut cross-section and an indication of a degree and direction of steering input of an optimal traversal path relative the ruts based on the defined strategy.
2 . The method of claim 1 , wherein determining the characteristics of the ruts comprises employing a camera, radar or LIDAR to measure a depth and dimensions of the ruts, and
wherein determining the proximity value comprises comparing a known minimum clearance value for the body portion of the vehicle to the depth and dimensions of the ruts.
3 . The method of claim 1 , wherein the strategy for positioning the vehicle comprises biasing vehicle wheel position relative to the ruts based on depth and dimensional variations of the ruts.
4 . The method of claim 1 , wherein providing the guidance instruction comprises autonomously controlling steering of the vehicle according to the defined strategy.
5 . The method of claim 1 , further comprising providing a trail rating for multiple different trail options for a driver of the vehicle to evaluate.
6 . The method of claim 1 , further comprising employing machine learning to build a database of rut characteristics and traversal strategies in a defined area.
7 . The method of claim 6 , wherein the database comprises shared information from a plurality of vehicles via vehicle to vehicle (V2V) or vehicle to everything (V2X) communication.
8 . The method of claim 1 , wherein defining the strategy comprises performing incremental speed reductions to reduce ground contact frequency and, responsive to the ground contact frequency being below a threshold, performing incremental speed increases, and
wherein a step size of incremental speed reductions or increases is proportional to a rate of change of vehicle motion during traversal of the rutted terrain.
9 . The method of claim 1 , wherein determining the proximity value comprises estimating a change in ride height of the vehicle responsive to traversing the rutted terrain based on vehicle speed and the determined characteristics.
10 . A vehicle control system comprising:
a mode selector for enabling selection of an operating mode of the vehicle among a plurality of selectable operating modes, at least one of the selectable operating modes comprising an off-road driving assistance mode that controls propulsive torque application or steering when the off-road driving assistance mode is active;
a sensor network operably coupled to components of the vehicle to obtain characteristics of ruts; and
a controller operably coupled to the sensor network to generate a guidance instruction based on the characteristics of the ruts in association with the off-road driving assistance mode responsive to:
receiving the characteristics of the ruts;
determining a proximity value between a portion of a body of the vehicle and the rutted terrain based on the determined characteristics of the ruts;
responsive to the proximity value being below a proximity threshold, defining a strategy for positioning the vehicle at a point of increased ground clearance relative to the ruts; and
providing the guidance instruction to the vehicle according to the defined strategy,
wherein determining the characteristics of the ruts comprises determining a rut cross-section defining a variation of depth of the ruts at corresponding lateral locations at a given distance from a front of the vehicle,
wherein the strategy for positioning the vehicle comprises determining a best position of the wheels relative to the rut cross-section, and
wherein providing the guidance instruction comprises displaying, on an in-cabin display while the vehicle is within the rut, the rut cross-section and an indication of a degree and direction of steering input of an optimal traversal path relative the ruts based on the defined strategy, or autonomously controlling steering of the vehicle on the optimal traversal path according to the defined strategy.
11 . The system of claim 10 , wherein determining the characteristics of the ruts comprises employing a camera, radar or LIDAR to measure a depth and dimensions of the ruts, and
wherein determining the proximity value comprises comparing a known minimum clearance value for the body portion of the vehicle to the depth and dimensions of the ruts.
12 . The system of claim 10 , wherein the strategy for positioning the vehicle comprises biasing vehicle wheel position relative to the ruts based on depth and dimensional variations of the ruts.
13 . The system of claim 10 , wherein the controller is further configured for providing a trail rating for multiple different trail options for a driver of the vehicle to evaluate and employing machine learning to build a database of rut characteristics and traversal strategies in a defined area.
14 . The system of claim 13 , wherein the database comprises shared information from a plurality of vehicles via vehicle to vehicle (V2V) or vehicle to everything (V2X) communication.
15 . The system of claim 10 , wherein defining the strategy comprises providing an indication to an operator of the vehicle with respect to employment and placement of an auxiliary device relative to the ruts and the vehicle.
16 . A method of providing vehicle guidance for traversal of rutted terrain, the method comprising:
employing a sensor network to determine characteristics of ruts in the rutted terrain;
determining a proximity value between a portion of a body of the vehicle and the rutted terrain based on the determined characteristics;
responsive to the proximity value being below a proximity threshold, defining a strategy for positioning the vehicle at a point of increased ground clearance relative to the ruts; and
providing a guidance instruction to the vehicle according to the defined strategy,
wherein defining the strategy comprises providing an indication to an operator of the vehicle with respect to employment and placement of an external auxiliary device separate from the vehicle relative to the ruts and the vehicle.