A system for estimating an articulation angle of a vehicle combination comprises a motion sensor for sensing one or more linear and/or angular motion quantities of the vehicle combination and a dynamics-based estimator configured to estimate state variables, including the articulation angle on the basis of the sensed motion quantities, wherein the dynamics-based estimator is dependent on one or more masses and moments of inertia of the vehicle combination.

Described is a two-level optimal path planning process for autonomous tractor-trailer trucks which incorporates offline planning, online planning, and utilizing online estimation and perception results for adapting a planned path to real-world changes in the driving environment. In one aspect, a method of navigating an autonomous vehicle includes determining, by an online server, a current vehicle state of the autonomous vehicle in a mapped driving area. The method includes receiving, by the online server from an offline path library, a path for the autonomous driving vehicle through the mapped driving area from the current vehicle state to a destination vehicle state, and receiving fixed and moving obstacle information. The method includes adjusting the path to generate an optimized path that avoids the fixed and moving obstacles and ends at a targeted final vehicle state, and navigating the autonomous vehicle based on the optimized path.

Detecting a damage angle between a vehicle and a trailer. One example system includes an electronic controller and a rear-view camera configured to obtain video of the trailer. The electronic controller is configured to receive the video of the trailer from the rear-view camera and determine a damage point based upon the video of the trailer. The electronic controller is further configured to determine a change in a rotation angle of the trailer and determine a changed location of the damage point of the trailer based upon the change in the rotation angle of the trailer. The electronic controller is also configured to determine a damage angle based upon the changed location of the damage point relative to the vehicle and determine at least one maneuver to avoid collision between the damage point and the vehicle based upon the damage angle.

One general aspect includes a system having a memory configured to include one or more executable instructions and a processor configured to execute the executable instructions, where the executable instructions enable the processor to estimate a rate of change of a hitch angle between a trailer and vehicle, the estimated rate of change of the hitch angle being based on a turn angle for a plurality of rear wheels of the vehicle as well as a speed of the vehicle.

A system and method of capacitance management in an agricultural vehicle and connected implement, wherein the vehicle and implement have a plurality of electric drives connected to a common connection and connectable to a direct current supply, and each electric drive has an associated Y capacitor between each direct current supply connection and the common connection, wherein the method includes receiving and summing capacitance values for each of the electric drives and comparing with a stored threshold value. If the threshold value is exceeded, a sequence of selective disconnections of individual electric drives is performed until the sum of the received capacitance values is less than or equal to the threshold value. The method may be performed manually, or automatically based on a sequence defined in a priority list until the sum of the received capacitance values is less than or equal to the threshold value.

A periphery monitoring device includes a coupling determiner that determines whether a towed vehicle is coupled to a towing vehicle to which the towed vehicle can be coupled; a target setter that sets a target moving position to be a target for moving at least the towed vehicle coupled to the towing vehicle; a storing controller that stores, as a moving target image, an image, including the target moving position, of a peripheral image generated by as imager provided at the towing vehicle; and an image controller that displays the stored moving target image in association with the towing vehicle or the towed vehicle included in a current image generated by the imager and currently displayed on a display device.

The technology relates to articulated autonomous vehicles that can potentially jackknife. To avoid or mitigate such hazardous conditions, the current state of the vehicle is evaluated against the vehicle's planned trajectory, for instance as it drives along a freeway or surface streets. When the evaluation indicates a likelihood of jackknifing, an automated braking approach is implemented using elective braking to stabilize the vehicle. The braking approach can depend on whether the situation involves tractor jackknifing or trailer jackknifing, and one or more different braking mechanisms can be employed for a selective modulation of the braking profile to address actual jackknifing or to prevent the vehicle from entering a jackknifing situation.

The technology involves operation of a self-driving truck or other cargo vehicle when it is being inspected at a weigh station. This may include determining whether a weigh station is open for inspection. Once at the weigh station, the vehicle may follow instructions of an inspection officer or autonomous inspection system. The vehicle may perform predefined actions or operations so that various vehicle systems and safety issues can be evaluated, such as the brakes, lights, tires, connections between the tractor and trailer, exposed fuel tanks, leaks, etc. A visual inspection may be performed to ensure the load is secured, vehicle and cargo documents meet certain criteria, and the carrier's safety record meets any requirements. In addition, the weigh station itself may be operated in a partly or fully autonomous mode when dealing with autonomous and manually driven vehicles.

An automated parking system for a vehicle according to an exemplary embodiment of this disclosure includes, among other possible things, a camera configured to obtain images of objects proximate the vehicle, and a controller configured to review the obtained images of objects proximate the vehicle to classify a location of the vehicle, determine a height of overhead objects associated with the classified location and initiate an automated parking function of the vehicle that corresponds to the determined height of the overhead objects.

The present disclosure includes a system, method, and device related to data collection and communication related to after-market and external vehicle systems, such as towing systems, cargo carrying systems, trailer breakaway systems, brake systems, braking control systems, and the like. Data is sensed, processed, shared, and further leveraged throughout the discrete components of the system, and possibly via internet and other communications' links, to effect various beneficial actions with minimal driver/user interaction or intervention. In the same manner, data from the system may be used for diagnostic reasons, safety controls, and other purposes.