Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

A vehicle system includes: a reprogramming slave device that is an electronic control unit (hereinafter, referred to as ECU) to be a target of updating an update file of a program stored among a plurality of the ECUs; a reprogramming master device that transmits the update file to the reprogramming slave device in response to a request from a terminal operable by a vehicle user to control updating of the program stored in the reprogramming slave device; and a determination unit that determines traveling propriety of a vehicle when the update file is rewritten in the reprogramming slave device. The vehicle device functions as the reprogramming master device, and includes: an obtaining unit that obtains the traveling propriety determined by the determination unit; and a notification command unit that commands a notification medium to notify information of the traveling propriety obtained by the obtaining unit.

An apparatus and method for a mobile transport for delivering temperature-controlled contents includes a plurality of compartments coupled to a vehicle body where each compartment includes an interior space and a front panel defining a wall of the interior space. Each front panel is operable to open and reveal the interior space of its compartment in response to a predetermined condition. A temperature controller is configured to individually control a temperature setting within at least one of the plurality of compartments, and a germicidal controller is configured to provide a germicide to the interior space of each of the plurality of compartments. In operation, the mobile transport receives an order signal to pick up an item from a source, the order signal including the pickup location information, customer identification information, and delivery location information. After the item has been placed in the interior space of a compartment, the temperature controller sets the temperature setting for that compartment according to a type of the item. After arriving at the delivery location, the front panel of the compartment is opened in response to receiving an open request signal satisfying the predetermined condition, the open request signal including information relating to the customer identification information.

A system for controlling an intelligent network vehicle is provided, and the system comprises a sensor group configured to obtain sensor information; a sensing and positioning module configured to obtain sensing information and positioning information based on the sensor information; a planning and control module configured to determine vehicle planning control information based on the sensing information and the positioning information; a safety control module configured to determine safety control information based on the sensing information and the positioning information; a function assessment module configured to determine a vehicle state assessment result; a risk assessment module configured to determine a risk assessment result; a logical arbitration module configured to determine vehicle execution information by arbitrating the vehicle planning control information and the safety control information; and an execution module configured to control the vehicle driving based on the vehicle execution information.

A method includes obtaining, using at least one processing device, a vanishing point and a boundary based on image data associated with a scene, where the boundary is associated with a detected object within the scene. The method also includes repeatedly, during multiple iterations and using the at least one processing device, (i) identifying multiple patches within the boundary and (ii) determining a similarity of the image data contained within the multiple patches. The method further includes identifying, using the at least one processing device, a modification to be applied to the boundary based on the identified patches and the determined similarities. In addition, the method includes generating, using the at least one processing device, a refined boundary based on the modification, where the refined boundary identifies a specified portion of the detected object.

The present disclosure relates to a method of driving a motor vehicle. The method determines position data relating to at least one of a current position or a predicted future position of the motor vehicle detecting, using at least one sensor device, surroundings data relating to a surrounding environment of the motor vehicle, determining at least one driving intervention based on the surroundings data, and controlling at least one vehicle system of the motor vehicle to execute the determined at least one driving intervention. The at least one driving intervention executed by a selected software module that is selected based on the surroundings data, and the selected software module is selected from a plurality of software modules based on the position data. Each software module is configured to execute the at least one driving intervention.

A vehicle system includes: a reprogramming slave device that is an electronic control unit (hereinafter, referred to as ECU) to be a target of updating an update file of a program stored among a plurality of the ECUs; a reprogramming master device that transmits the update file to the reprogramming slave device in response to a request from a terminal operable by a vehicle user to control updating of the program stored in the reprogramming slave device; and a determination unit that determines traveling propriety of a vehicle when the update file is rewritten in the reprogramming slave device. The vehicle device functions as the reprogramming master device, and includes: an obtaining unit that obtains the traveling propriety determined by the determination unit; and a notification command unit that commands a notification medium to notify information of the traveling propriety obtained by the obtaining unit.

A vehicle control system includes: multiple control units which controls operation of a vehicle including an internal combustion engine, a first electric motor connected to the internal combustion engine, and a second electric motor; and a network connected to the control units such that the control units perform communi cati on with each other. The control units include a first control unit which controls the internal combustion engine, a second control unit which controls the first motor, and a third control unit which controls the second motor, and each detect abnormality in communication via the network among the control units. Upon detection of abnormality in communication between the second control unit and the other control units via the network, the first control unit stops operation of the internal combustion engine, and the third control unit performs control such that the second motor outputs power for the vehicle to travel.

Aspects and implementations of the present disclosure address shortcomings of existing technology by enabling autonomous vehicle simulations based on retro-reflection optical data. The subject matter of this specification can be implemented in, among other things, a method that involves initiating a simulation of an environment of an autonomous driving vehicle, the simulation including a plurality of simulated objects, each having an identification of a material type of the respective object. The method can further involve accessing simulated reflection data based on the plurality of simulated objects and retro-reflectivity data for the material types of the simulated objects, and determining, using an autonomous vehicle control system for the autonomous vehicle, a driving path relative to the simulated objects, the driving path based on the simulated reflection data.

A vehicle drive system includes a slip acquisition unit that acquires occurrence of excessive slip, an addition slip point calculating unit that calculates addition slip points in a time-discrete manner, based on having acquired that the excessive slip has occurred, a cumulative slip point calculating unit that accumulates the addition slip points and calculates a cumulative slip point over time, a drive state switching unit that switches between 2WD and AWD based on cumulative slip points and a drive state switching threshold value, and a cumulative slip point resetting unit triggered by a lateral acceleration correlation value of the vehicle reaching a lateral acceleration threshold value or higher, or a drive force correlation value of the drive wheels reaching a drive force correlation threshold value or higher, to reset the cumulative slip point to a value smaller than the drive state switching threshold value.