A system for analyzing the environment of a vehicle i) receives a plurality of data from at least one sensor associated with a vehicle, such that the plurality of data includes at least one environmental condition at a location; (ii) analyzes the plurality of data to determine the at least one environmental condition at the location; (iii) determines a condition of a building at the location based upon the at least one environmental condition; (iv) determines an insurance product for the building based upon the determined condition associated with the building; and (v) generates an insurance quote for the insurance product. As a result, the speed and accuracy of insurance providers learning about potential clients and the conditions of the potential client's property and needs is increased.

A method and a device for automatically reversing a vehicle are provided. A forward track of a target vehicle is recorded in a forward process of the target vehicle. The target vehicle is controlled to be reversed from a current position and the target vehicle is controlled to be reversed along the forward track by adjusting a steering wheel angle of the target vehicle at each reversing moment, when an automatic reversing instruction for the target vehicle is detected after the target vehicle stops moving forward. The target vehicle is controlled to stop being reversed when a reversing stop instruction for the target vehicle is detected in a reversing process.

Systems and methods for preventing roll-over of a motor vehicle in the event of a transverse load change. The motor vehicle has an individual-wheel drive designed to drive a wheel that is loaded by the transverse load change independently of the at least one other wheel of the motor vehicle. One methods includes identifying a critical state of the motor vehicle in the event of a transverse load change, applying a drive torque by the individual-wheel drive to the motor vehicle wheel that is loaded by the transverse load change such that the wheel that is loaded by the transverse load change is caused to slip, and steering the motor vehicle wheel that is loaded by the transverse load change in the direction of the direction of travel such that a roll-over of the motor vehicle can be prevented.

In one embodiment, a first set of driving statistics is measured and collected from an autonomous driving vehicle (ADV) at different points in time in response to various control commands while the ADV is driving in various driving environments. Based on the first set of driving statistics, a search is conducted in each of the load calibration tables to find a load calibration table having similar driving statistics. One of the load calibration tables is selected, which contains a second set of driving statistics that are most similar to the first set of driving statistics. A current load of the ADV is determined based on the selected load calibration table, for example, by designating the load associated with the selected load calibration table as the current load of the ADV. The load of the ADV can be utilized as a factor for generating subsequent control commands for the ADV.

Provided are a vehicle lane-changing control method and a vehicle lane-changing control device. The method includes controlling a host vehicle to travel into a neighboring to-be-turned-into lane with a first control rule, acquiring a location relation between the host vehicle and a referential lane line in a real time manner. The referential lane line is located between the host vehicle and the to-be-turned-into lane. The method further includes determining whether the location relation meets a preset changing rule, and controlling an action of the host vehicle with a second control rule corresponding to the preset changing rule in a case that the location relation meets the preset changing rule.

Methods, devices and apparatuses pertaining to U-turn assistance. The method may include obtaining, by a computing device, geographic obtaining of a location designated for an operation of a U-turn. The computing device may further obtain vehicle information of a vehicle performing the U-turn, and collect user information of an operator of the vehicle. Based on the geographic information, the vehicle information and the user information, the computing device may determine a level of difficulty of the U-turn and assist the operator with the operation of the U-turn based on the level of difficulty.

A system for controlling a movement of a vehicle from an initial state of the vehicle and a target state of the vehicle constructs a graph having multiple nodes defining states of the vehicle and including an initial node defining the initial state of the vehicle and a target node defining the target state of the vehicle and determines a path through the graph connecting the initial node with the target node. The system determines the graph using doubletree construction with an initial tree of nodes originating at the initial node and a target tree of nodes originating at the target node. The doubletree construction is configured to select an expandable node in the initial tree or the target tree based on a cost of the expandable node, and expand the graph by adding a child node connected to the expandable node with an edge defined by a collision free primitive motion, such that a cost of the child node is less than the cost of the expandable node.

A set of driving scenarios are determined for different types of vehicles. Each driving scenario corresponds to a specific movement of a particular type of autonomous vehicles. For each of the driving scenarios of each type of autonomous vehicles, a set of driving statistics is obtained, including driving parameters used to control and drive the vehicle, a driving condition at the point in time, and a sideslip caused by the driving parameters and the driving condition under the driving scenario. A driving scenario/sideslip mapping table or database is constructed. The scenario/sideslip mapping table includes a number of mapping entries. Each mapping entry maps a particular driving scenario to a sideslip that is calculated based on the driving statistics. The scenario/sideslip mapping table is utilized subsequently to predict the sideslip under the similar driving environment, such that the driving planning and control can be compensated.

A vehicle control system includes a trajectory generation unit configured to generate a target trajectory of a vehicle, a determination unit configured to determine whether or not the vehicle is about to stop on the basis of the target trajectory generated by the trajectory generation unit, and a post-stop target trajectory generation unit configured to generate a post-stop target trajectory after the vehicle stops on the basis of the target trajectory before the vehicle stops in a case where it is determined that the vehicle is about to stop by the determination unit.

A traveling control device includes: a sensor information acquisition unit configured to acquire an output value of an in-vehicle sensor including a yaw rate sensor detecting an actual value of a yaw rate generated in the vehicle; a command value determination unit configured to determine a target value of the yaw rate to be generated in the vehicle based on the output value and determine a command value to be given to an actuator controlling a behavior of the vehicle such that a difference between the actual value and the target value is reduced; a characteristic parameter acquisition unit configured to acquire a characteristic parameter indicating a characteristic of a drivers driving operation based on the difference; and an adjustment output unit configured to adjust the command value according to the characteristic parameter and output the adjusted command value to the actuator.