System, methods, and other embodiments described herein relate to adapting operation of an assistance system in a subject vehicle according to a presence of a trailer. In one embodiment, a method includes, in response to determining that the trailer causes an occlusion to perception of at least one sensor about a surrounding environment of the subject vehicle, modifying system parameters associated with the assistance system according to the occlusion to adapt how the assistance system operates while the occlusion is present. The method includes controlling the assistance system as a function of the system parameters to improve assistance provided to an occupant of the subject vehicle.

System, methods, and other embodiments described herein relate to adapting operation of an assistance system in a subject vehicle according to a presence of a trailer. In one embodiment, a method includes, in response to determining that the trailer causes an occlusion to perception of at least one sensor about a surrounding environment of the subject vehicle, modifying system parameters associated with the assistance system according to the occlusion to adapt how the assistance system operates while the occlusion is present. The method includes controlling the assistance system as a function of the system parameters to improve assistance provided to an occupant of the subject vehicle.

A method for exhaust braking includes monitoring, by a controller of a vehicle, an engine speed of an internal combustion engine; comparing, by the controller, the engine speed with the a predetermined braking speed threshold to determine whether the engine speed is greater than the a predetermined braking speed threshold; and, in response to determining that the engine speed is greater than the a predetermined braking speed threshold, switching the vehicle to an exhaust braking mode.

A trailer sideswipe avoidance system for a vehicle towing a trailer is provided herein. The trailer sideswipe avoidance system includes a sensor system configured to detect objects in an operating environment of the vehicle. A controller receiving inputs from the sensor system is configured to determine a travel path of the towed trailer as the vehicle turns, determine whether an object detected in the operating environment of the vehicle is in the travel path of the towed trailer, determine a time until sideswiping of the object with the towed trailer, compare the time until sideswiping with a threshold time value, and prompt one or more vehicle systems to execute a sideswipe avoidance measure when the time until sideswiping is less than the threshold time value.

A transportation vehicle with at least one first sensor for capturing environment data, at least one second sensor for capturing transportation vehicle data, a communication module for establishing a data connection with another transportation vehicle, a driving system for automated driving of the transportation vehicle, at least one output element for a visible/audible warning signal, and a control unit. The control unit determines a predicted trajectory of the transportation vehicle, determines a predicted path of the transportation vehicle and receives a predicted trajectory and vehicle geometry data of the other transportation vehicle via the data connection, determines a predicted path of the other transportation vehicle, determines a possible collision of the transportation vehicle with the other transportation vehicle, and in response to a possible collision, outputs a warning signal by the at least one output element and/or carries out an automated driving maneuver by the driving system.

A method for exhaust braking includes monitoring, by a controller of a vehicle, an engine speed of an internal combustion engine; comparing, by the controller, the engine speed with the a predetermined braking speed threshold to determine whether the engine speed is greater than the a predetermined braking speed threshold; and, in response to determining that the engine speed is greater than the a predetermined braking speed threshold, switching the vehicle to an exhaust braking mode.

A low clearance detection system for a vehicle. In one example, the system includes a first sensor configured to detect an object in front of the vehicle and generate an object clearance signal. The system includes a second sensor configured to detect a load height of a load of the vehicle and generate a load height signal. The system includes a third sensor configured to detect a distance between the third sensor to a ground surface and to generate a ground reference signal. The system also includes an electronic processor configured to receive the object clearance signal, the load height signal, and the ground reference signal. The electronic processor determines an object clearance threshold, a clearance height of the load, and a load collision condition when the clearance height exceeds the object clearance threshold. In response to determining the load collision condition, the electronic processor controls a vehicle system.

A control system having an ACC control, which for use in a host motor vehicle (ego) is configured and intended for recognizing a preceding motor vehicle (alter) and preferably preceding objects, based on surroundings data obtained from at least one front camera sensor associated with the host motor vehicle (ego). The front camera sensor (FKS) is configured for providing to an electronic control unit of the control system the surroundings data that represent an area in front of the host motor vehicle (ego). The control system is at least configured and intended for detecting another motor vehicle (alter) in traffic that is in front of the host motor vehicle (ego), by means of the at least one front camera sensor (FKS), determining a distance between the host motor vehicle (ego) and the preceding motor vehicle (alter), based on data from the front camera sensor (FKS), determining a relevant difference in length (Diff.sub.rel), based on the last determined distance (A.sub.t-1) and the instantaneously determined distance (A.sub.t), determining a distance (A.sub.ACC) to be used by the ACC control, based on the relevant difference in length (Diff.sub.rel) and the instantaneously determined distance (A.sub.t), determining a measure of the criticality of the determined distance between the host motor vehicle (ego) and the preceding motor vehicle (alter), and outputting the distance (A.sub.ACC) to be used to the ACC control of the host vehicle (ego) when the measure of the criticality deviates significantly from a limit value.

A system and method for estimating the length of a trailer attached to a vehicle includes a processor and a sensor mounted to the vehicle and in communication with the processor. The sensor is configured to sense at least one target on the trailer and provide information to the processor regarding the location of the at least one target. The processor is configured to determine an estimate of the wheel based length (laa.sub.1) of the trailer by utilizing a wheel angle () of the vehicle, a hitch point (zk) of the vehicle, the first hitch angle (.sub.1), a wheel base (lza) of the vehicle, a distance (lzk) between the hitch point (zk) and a front axle of vehicle, and a lane radius (rza). The processor is configured to determine the length of a trailer attached to the vehicle by utilizing the wheel based length (laa.sub.1) of the trailer.

Example embodiments relate to lane adjustment techniques for slow lead agents. A vehicle computing system may use sensor data depicting the surrounding environment to detect when another vehicle is traveling in front of the vehicle at a speed that is less than a threshold minimum speed. If the other vehicle fails to increase speed above the minimum speed, the computing system may determine whether to change lanes to avoid the other vehicle based on speed data for other lanes. In some implementations, the computing system assigns penalties to lane segments surrounding the vehicle based on speed data for the different lane segments. For instance, the path finding system for the vehicle can use penalties and speed data to determine efficient routes that safely circumvent slow agents.