Patent classifications
B60W2555/00
METHOD AND SYSTEM FOR CONTROLLING FOUR-WHEEL-INDEPENDENT-DRIVE ELECTRIC VEHICLE (4WID) EV
The present disclosure provides a method and system for controlling a four-wheel-independent-drive (4WID) electric vehicle (EV) which incorporates the method steps of: acquiring driving environmental information of the vehicle, running state information of the vehicle and driving expectation information of a driver; tracking a body attitude; switching a condition of the vehicle according to information of an upper module; calculating an expected longitudinal torque, an expected lateral torque and an expected yaw torque of the vehicle that meet a driver's expectation; optimally distributing the torques of the vehicle; and generating armature voltage signals required by output torques of motors and controlling the motors. The method divides the driving process of the vehicle into multiple independent driving conditions. The method does not globally implement operation and control in multiple driving conditions with a single control strategy, but coordinately switches the conditions according to multiple control modes and multiple control strategies.
VEHICLE TRANSPORT PLANNING DEVICE, MANAGEMENT SERVER, AND VEHICLE TRANSPORT DEVICE
A vehicle transport planning device includes a transport proposal unit that proposes, to an occupant of a vehicle equipped with an internal combustion engine, transport of the vehicle in a predetermined area where driving of the internal combustion engine is prohibited or restricted, and a transport arrangement unit that requests arrangement of a vehicle transport device for transporting the vehicle when the occupant desires the transport of the vehicle.
Vehicle control device
A vehicle control device includes: a signal processing IC unit that outputs image processing data; a recognition processing IC unit that performs recognition processing of the external environment of a vehicle to output external environment data obtained through the recognition processing; a judgment processing IC unit that performs judgment processing for cruise control of the vehicle; a power management unit capable of controlling an on or off state of a recognition function of the external environment of the vehicle in the recognition processing IC unit according to the conditions of the vehicle; and a bypass path for enabling data communications from the signal processing IC unit to the judgment processing IC unit without performing the recognition processing of the external environment of the vehicle by the recognition processing IC unit.
Autonomous vehicle computing system compute architecture for assured processing
Systems and methods are directed to an autonomy computing system of an autonomous vehicle. The autonomy computing system can include first functional circuitry configured to generate a first output associated with a first autonomous compute function of the autonomous vehicle based on sensor data using first neural networks. The autonomy computing system can include second functional circuitry configured to generate a second output associated with the first autonomous compute function of the autonomous vehicle based on the sensor data and neural networks. The autonomy computing system can include monitoring circuitry configured to determine a difference between the first output of the first functional circuitry and the second output of the second functional circuitry. The autonomy computing system can include a vehicle control system configured to generate vehicle control signals for the autonomous vehicle based on the outputs.
VEHICLE CONTROL METHOD AND VEHICLE CONTROL DEVICE
A vehicle control method according to an embodiment is a vehicle control method to be executed by a controller for controlling a vehicle that travels in an area, wherein the controller is configured to: in a case where detecting occurrence of a disaster and determining that nobody is riding on the vehicle, cause the vehicle to move to a refuge place, and the refuge place includes at least one of a place in which the vehicle having taken refuge hinders passage of an evacuee toward an outside of the evacuation route and a place in which the vehicle having taken refuge prevents an evacuee from entering a dangerous zone.
UTILITY VEHICLE WITH A HYDROGEN FUEL CELL POWER SUPPLY WHICH PROVIDES MULTIPLE DC AND AC VOLTAGES
A hydrogen fuel cell, PV solar panel, and thermoelectric power generator powered all-electric mobile utility vehicle with an onboard regulated power supply with multiple power outlets and charging ports that uses DC/DC converters and DC/AC inverters to provide multiple DC and AC voltages to power or charge multiple external electrical devices, electronic instruments, electronic equipment, communications equipment, power tools, and vehicles simultaneously. A utility vehicle integrated with a component thermal management system GPS, Wi-Fi, ADAS, automotive Ethernet, telecommunications, real-time data reporting, warning notification capable, weather station, environmental sensors, with EMI, RFI, high voltage surge protection, circuit breakers, computer and supporting software programs which can be used in on-road, off-road and emergency response situations.
Method and apparatus for controlling autonomous driving vehicle
A method and an apparatus for controlling an autonomous driving vehicle are provided. The method includes: receiving environment information sent by an autonomous driving vehicle, the environment information including vehicle exterior environment information; determining whether the autonomous driving vehicle is in an abnormal operation status, based on the vehicle exterior environment information and operation information of an operation executed by the autonomous driving vehicle; and sending a braking control instruction and a data acquisition instruction to the autonomous driving vehicle, in response to determining that the autonomous driving vehicle is in the abnormal operation status, the braking control instruction being used for controlling braking of the autonomous driving vehicle, and the data acquisition instruction being used for acquiring data of a driving recorder in the autonomous driving vehicle.
Machine stability detection and control
A mobile work machine includes a frame; ground engaging elements movably supported by the frame and driven by a power source to drive movement of the machine; a moveable element movably supported by the frame to move relative to the frame; an actuator coupled to the moveable element to controllably drive movement of the moveable element; a control system that generates an actuator control signal, indicative of a commanded movement of the actuator, and provides the actuator control signal to the actuator to control the actuator to perform the commanded movement; a terrain identifier configured to identify a characteristic of terrain in a geographic area around the machine; and a stability system that determines whether the commanded movement will result in an unstable state of the machine based on the characteristic of the terrain and, if so, generates a restriction signal, restricting the commanded movement to avoid the unstable state.
PATH PLANNING
A system for generating a costmap for use in planning a path through an environment, the system including one or more suitably programmed processing devices configured to obtain a map of the environment, acquire traversal data indicative of an ability to traverse parts of the environment, for each part of the environment, calculate a traversal indicator indicative of the ability to traverse the part, the traversal indicator being calculated in a colour space, and colourise the map using the traversal indicators to thereby generate a colourised costmap indicative of an ability to traverse the environment, the colourised costmap allowing path planning to be performed.
Method for distributed data analysis
The present disclosure relates to techniques to implement a vehicle action using a distributed model distributed across the vehicle and a remote node. A local portion of the distributed model at the vehicle may generate a local output model based on vehicle event data collected at the vehicle. The local output model may be sent from the vehicle at a first location to the remote node at a second location. The remote node may generate a remote output model based on the local output model using the remote portion of the distributed model. The vehicle action may be determined based on inspecting a reconstructed version of the vehicle event data included in the remote output model. The determined vehicle action may be implemented at the vehicle. The distributed model may facilitate the transmission of vehicle event data across multiple locations while securing the transmission of personally-identifiable information.