A controller detects partitioning lines OL and BL of a road and a road edge E based on an image taken by a camera, generates a pair of left and right virtual lines IL.sub.L and IL.sub.R that extend from the side to the front of a vehicle along the partitioning lines OL and BL, controls the steering so the vehicle travels between the left and right virtual lines IL.sub.L and IL.sub.R, moves the left virtual line IL.sub.L to a position in proximity to the road edge E and fixes the left virtual line IL.sub.L to this position, and then, moves the right virtual line IL.sub.R to a position separated from the left virtual line IL.sub.L by the width of the vehicle and fixes the right virtual line IL.sub.R to this position, and controls brakes to stop the vehicle after fixing the left and right virtual lines IL.sub.L and IL.sub.R.

Systems and methods for managing environmental conditions for an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes a perception sensor configured to generate perception data indicative of a condition of the environment, a network communication transceiver configured to communicate with an oversight system and an external weather condition source, a non-transitory computer readable medium, and a processor. The processor is configured to: receive the perception data from the at least one perception sensor, receive an indication of current weather conditions from the external weather condition source, determine a current environmental condition severity level from a plurality of severity levels based on the perception data and the indication of current weather conditions, modify one or more driving parameters that that govern a range of actions that can be autonomously executed by the autonomous vehicle, and navigate the autonomous vehicle based on the modified driving parameters.

An axle torque distribution system includes a memory and a control module. The memory stores a steering angle and a toque distribution algorithm. The control module executes the torque distribution algorithm to: obtain the steering angle; based on the steering angle, determine total lateral force requested for axles of a vehicle; based on the total lateral force requested, determine lateral forces requested for the axles while constraining lateral force distribution between the axles, where the constraining of the lateral force distribution includes, based on maximum lateral force capacities of tires of the vehicle, limiting the lateral forces requested for the axles; determine available longitudinal capacities for the axles based on the lateral forces requested respectively for the axles; determine torque capacities of the axles based on the lateral forces requested respectively for the axles; and control distribution of torque to the axles based on the torque capacities of the axles.

Example embodiments relate to methods and systems for automatic problematic maneuver detection and adapted motion planning. A computing device may obtain a route for navigation by a vehicle and a set of vehicle parameters corresponding to the vehicle. Each vehicle parameter can represent a physical attribute of the vehicle. The computing device may generate a virtual vehicle that represents the vehicle based on the set of vehicle parameters and perform a simulation that involves the virtual vehicle navigating the route. Based on the results of the simulation, the computing device may provide the original route or a modified route to the vehicle for the vehicle to subsequently navigate to its destination. In some cases, the simulation may further factor additional conditions, such as potential weather and traffic conditions that are likely to occur during the time when the vehicle plans on navigating the route.

A method includes calculating, at a data processing hardware, a relative angle between a tow vehicle and a trailer attached to the tow vehicle. An absolute angle of the tow vehicle is determined at the data processing hardware. An absolute angle of the trailer based on the relative angle and the absolute angle of the tow vehicle is calculated at the data processing hardware. A dimension of the trailer is determined at the data processing hardware. A trailer levelling adjustment based on the absolute angle of the trailer and the dimension of the trailer is calculated at the data processing hardware.

This document describes methods by which a system determines a pickup/drop-off zone (PDZ) to which a vehicle will navigate to perform a ride service request. The system will access map data that includes the destination interval and define a geometric interval at the requested destination of the ride service request by: (i) using the vehicle's length and the road's speed limit at the destination to calculate a minimum allowable length for the interval; and (ii) setting start point and end point boundaries for the interval having an intervening distance that is equal to or greater than the minimum allowable length. The system will then generate a path to guide the vehicle to the interval.

A parking assist system includes an environment information obtainer and a parking assist controller. The parking assist controller includes an available parking space detector, a target guiding route setter, a target stop position setter, and a steering controller. The steering controller turns a steered wheel of a vehicle and fixes the steered wheel to a steering angle at which the vehicle starts to be reversed at a target stop position for turning the vehicle along a target guiding route. The steering controller also turns the steered wheel to a steering angle at which the vehicle starts to be reversed to an available parking space at a target stop position for parking the vehicle in a state in which the vehicle is in line with the available parking space.

A vehicle control method as executed includes acquiring surrounding information of the subject vehicle by a sensor includes, specifying an entry position located on a second lane adjacent to a first lane where the subject vehicle travels in accordance with the surrounding information of the subject vehicle, specifying a front vehicle located front the entry position and a rear vehicle located rear the entry position, determining the travel state of each of the front vehicle and the rear vehicle, determining whether there is a space for the subject vehicle to enter at the entry position, predicting whether the front vehicle starts to travel when the front vehicle and the rear vehicle are determined to be stopped and no space is determined at the entry position, and starting to move the subject vehicle to the entry position when the front vehicle is predicted to start traveling.

A method of reversing a trailer along a defined path according to a disclosed exemplary embodiment includes, among other possible things, detecting a deviation from a predefined path of a trailer coupled to a tow vehicle with a sensor system disposed within the tow vehicle, determining a correction path required to move the trailer back to the predefined path, determining a dampening factor for limiting deviation from the predefined path, combining the determined correction path and the dampening factor to determine a desired curvature, wherein the desired curvature represents a path from a current position of the trailer to the predefined path, and determining a steering angle of the tow vehicle that provides the desired curvature.

A method for vehicle control, including: obtaining a slip ratio in a current control cycle of a vehicle; calculating a road friction coefficient in the current control cycle of the vehicle by invoking a corresponding calculation strategy according to the slip ratio; and controlling the vehicle in real time by inputting the road friction coefficient into a vehicle control optimization model to obtain a control instruction for the current control cycle of the vehicle.