Aspects and implementations of the present disclosure relate to performance and safety improvements for autonomous trucking systems, including techniques of obtaining an identification of an unfavorable condition on a route of an autonomous vehicle (AV), causing the AV to exit the route, and performing one or more waiting loops until the unfavorable condition is resolved, the AV is rerouted, assistance arrives, and the like.

A coordinated control method for electric vehicles having independent four-wheel driving and steering, comprising the steps of: calculating to obtain a desired value of yaw velocity according to the steering angle and the current vehicle driving speed, and limiting the desired value of yaw velocity according to the current road adhesion condition; constructing an optimization problem according to the current vehicle motion state and the desired value of yaw velocity, and solving the optimization problem to obtain a desired active rear wheel steering angle control variable and a desired additional yaw moment control variable; calculating to obtain an additional torque of each wheel according to a desired additional yaw moment control variable, obtaining a desired active rear wheel steering angle, and sending the additional torque of each wheel and the desired active rear wheel steering angle to an executor of the vehicle for performing a coordinated control.

Provided are methods, systems, devices, and tangible non-transitory computer readable media for mapping geographical surfaces. The disclosed technology can access image data and sensor data. The image data can include a plurality of images of one or more locations and semantic information associated with the one or more locations. The sensor data can include sensor information associated with detection of one or more surfaces at the one or more locations by one or more sensors. One or more irregular surfaces can be detected based at least in part on the image data and the sensor data. The one or more irregular surfaces can include the one or more surfaces associated with the image data and the sensor data that satisfies one or more irregular surface criteria at each of the one or more locations respectively. Map data including information associated with the one or more irregular surfaces can be generated.

A multipurpose electric vehicle control system provides an electric vehicle made up of multiple detachably attached modules that can be interchanged to create different operational modes, and a control unit and a software that direct reconfigurations to vehicle subsystems, so as to selectively form different operational modes. The software also manages vehicle-related data. Exemplary reconfigurations to the structural configuration of vehicle subsystems include: performance settings, suspension adjustments, panel management, brake settings, transmission settings, security settings, battery management, power management, and entertainment settings. By making these reconfigurations to vehicle subsystems the electric vehicle selectively operates between a personal transport vehicle mode, a fleet service vehicle mode, and a commercial vehicle mode. The software also manages vehicle-related data, including: vehicle insurance, vehicle maintenance schedule, and vehicle service logs. A personal communication device, such as a smart phone, can control the software through a software application.

An in-vehicle device, an in-vehicle system, and a method for hands-free driving assistance are disclosed. The in-vehicle device includes: an obtaining module configured to obtain a hands-free assistance status signal from a hands-free driving assistance system of a vehicle and a steering assistance status signal from a steering system of the vehicle; an ascertainment module configured to ascertain, based on the hands-free assistance status signal, whether a hands-free driving assistance function of the vehicle is activated, and ascertain, based on the steering assistance status signal, whether a fault occurs in the steering system; a trigger module configured to trigger a brake jerk in a braking system of the vehicle if it is ascertained that the hands-free driving assistance function has been activated and that the fault occurs in the steering system; and a determination module configured to calculate, in real time and based on a mass of the vehicle, a duration that the brake jerk has lasted, and a rate of change in a longitudinal deceleration of the vehicle, a braking force for the brake jerk, for use in dynamic pressure build-up in the braking system during the brake jerk.

Provided are methods, systems, devices, and tangible non-transitory computer readable media for mapping geographical surfaces. The disclosed technology can access image data and sensor data. The image data can include a plurality of images of one or more locations and semantic information associated with the one or more locations. The sensor data can include sensor information associated with detection of one or more surfaces at the one or more locations by one or more sensors. One or more irregular surfaces can be detected based at least in part on the image data and the sensor data. The one or more irregular surfaces can include the one or more surfaces associated with the image data and the sensor data that satisfies one or more irregular surface criteria at each of the one or more locations respectively. Map data including information associated with the one or more irregular surfaces can be generated.

A drive mode hierarchy includes drive mode categories and drive modes belonging to each category. Each drive mode defines values for attributes of the drivetrain and/or suspension of a vehicle. Each drive mode may further have towing and non-towing sub-modes with the towing sub-mode being used when a trailer is detected. An interface is provided for selecting drive modes from the hierarchy and modifying the attributes. The vehicle may define a plurality of trailer profiles including attributes of trailers, such as weight and aerodynamic drag. A user may select among trailer profiles and define the attributes of the trailer profiles. Interfaces displayed by the vehicle may vary according to the selected drive mode and may include a chassis view with interface elements displaying real-time information of components of the vehicle, such as wheels, suspension, and battery. Tiles including real-time information may be displayed according to the selected drive mode.

An apparatus of determining a target steering angle, may include: a feedforward steering angle calculator configured for determining a feed forward steering angle reflecting a yaw moment generated by torque vectoring during turning driving of an electric vehicle in autonomous driving; and an adder configured for obtaining a target steering angle by adding the determined feedforward steering angle to a feedback steering angle, the feedback steering angle being a steering angle measured through a steering angle sensor.

A system and a method for estimating the International Roughness Index (IRI) of a road or road segment includes determining the IRI as a function of physical quantities relating to the motion of a vehicle, for instance the vertical accelerations, and to the vehicle itself, for instance the damping and stiffness coefficients of the suspensions of the vehicle and the tires mounted on the vehicle.

The disclosed vehicle control device (10) controls outputs of a left driving source (2L) and a right driving source (2R) in a vehicle (1) provided with a left driving system including a left axle (4L) and a left wheel (5L) and a right driving system including a right axle (4R) and a right wheel (5R) and includes: a calculator (11) that calculates an equivalent sum value corresponding to a sum of a left requested torque and a right requested torque and an equivalent difference value corresponding to a difference between the left requested torque and the right requested torque; a sum model that models motion states of the left driving system and the right driving system while the vehicle (1) is running straight, the equivalent sum value being applied to the sum model; a difference model that models motion states of the left driving system and the right driving system while the vehicle (1) is cornering, the equivalent difference value being applied to the difference model; and a controller (12) that controls the outputs, using a sum-mode instruction torque and a difference-mode instruction torque obtained by application to the sum model and the difference model, respectively.