A method including operations to obtain a planned driving action for accomplishing a navigational goal of a host vehicle on a roadway, identify a planned trajectory for the host vehicle, corresponding to the planned driving action, identify, from sensor data representative of an environment of the host vehicle, an occluded location of a potential object that is occluded from view of the host vehicle, identify a possible trajectory of the potential object, based on possible movement of the potential object from the location into the roadway, identify an intersection of the planned trajectory for the host vehicle with the possible trajectory for the potential object, determine a safety action of the host vehicle to respond to the possible movement of the potential object, and apply the safety action to change the planned driving action of the host vehicle.

The disclosure provides a method and an apparatus for checking an automatic driving algorithm, a related device and a storage medium. The travelling data during a travelling process of the vehicle is obtained. The travelling data includes the environmental parameter and/or the state parameter of the vehicle. The travelling data is processed using an automatic driving algorithm to be checked to generate the prediction result. The reference result corresponding to the travelling data is obtained. The reliability of the automatic driving algorithm to be checked is determined based on the difference between the prediction result and the reference result.

A driving support apparatus supports driving of the vehicle. The driving support apparatus includes a brake pedal detection unit, a retraction speed calculation unit and a driving operation device setting unit. The brake pedal detection unit detects an operation amount of the brake pedal. The retraction speed calculation unit calculates a retraction speed of the brake pedal, based on the operation amount of the brake pedal detected by the brake pedal detection unit. The driving operation device setting unit sets a reaction force exerted by a driving operation device to a larger value as the retraction speed calculated by the retraction speed calculation unit becomes higher.

A method for improving the safety and comfort of a vehicle driving over a railroad track, cattle guard, or the like. The method may include receiving, by a computer system, one or more inputs corresponding to one or more forward looking sensors. The computer system may also receive data characterizing a motion of the vehicle. The computer system may estimate, based on the one or more inputs and the data, a motion of a vehicle with respect to a railroad track, cattle guard, or the like extending across a road ahead of the vehicle. Accordingly, the computer system may change a suspension setting, steering setting, or the like of the vehicle to more safely or comfortably drive over the railroad track, cattle guard, or the like.

A control unit functionally comprises a first steering-torque application control part which commands a steering actuator of a vehicle to execute application of a steering torque determined by a first steering characteristic CH1 and a second steering-torque application control part which commands the steering actuator of the vehicle to execute application of a steering torque determined by a second steering characteristic CH2. The first steering characteristic CH1 comprises plural characteristics CH1A-CH1J which have different steering torques changing according to a vehicle speed. The characteristics CH1A-CH1J are set according to the vehicle speed such that these gradually change in a manner CH1A.fwdarw.CH1J as the vehicle speed becomes higher. The steering torque applied to the steering wheel is set such that the higher the vehicle speed is, the smaller the steering torque is, as shown by the characteristics CH1A-CH1J.

A control unit functionally comprises a first steering-torque application control part which commands a steering actuator of a vehicle to execute application of a steering torque determined by a first steering characteristic CH1 and a second steering-torque application control part which commands the steering actuator of the vehicle to execute application of a steering torque determined by a second steering characteristic CH2. The first steering characteristic CH1 comprises plural characteristics CH1A-CH1J which have different steering torques changing according to a vehicle speed. The characteristics CH1A-CH1J are set according to the vehicle speed such that these gradually change in a manner CH1A.fwdarw.CH1J as the vehicle speed becomes higher. The steering torque applied to the steering wheel is set such that the higher the vehicle speed is, the smaller the steering torque is, as shown by the characteristics CH1A-CH1J.

The present disclosure relates to a method for determining the fatigue of a driver of a motor vehicle, wherein the fatigue is determined while taking into account the steering behavior of the driver, characterized in that the method includes the following steps: determination of a hysteresis of the steering system or the fatigue detection system, and taking into account the detected hysteresis in the determination of the fatigue of the driver. Furthermore, the disclosure relates to a device that is set up to execute the method.

Even when a motor fails in an EV travel mode in which a clutch is disengaged, an amount of hydraulic oil that is supplied to the clutch can be secured by reducing a transmission leaked amount. Accordingly, the clutch can be engaged, and an oil pump can be driven by power of an engine. Thus, an evacuation travel by the engine is allowed when the motor fails in the EV travel mode.

According to various embodiments, described herein are methods and systems for collecting data for training a load inference regression model for use in an ADV. According to one exemplary method, an ADV is manually driven on a segment of a road for a number of periods of time. During each period of time, a set of features of the ADV are recorded, including one or more features at a first time prior to a gear shift from a first gear position to a second gear position, and one or more features at a second time after the gear shift. For each of the number of periods of time, a weight of the ADV is also recorded using a weight sensor. The recorded features and the total weight of the ADV for each of the periods of time are then used to train a neural network regression model for inferring a load of the ADV in real time.

The present application relates to a method for performing off road adaptive cruise control in a host vehicle including controlling a vehicle speed at a first speed according to an adaptive cruise control algorithm, detecting an obstacle, using a sensor, within a host vehicle path, reducing the vehicle speed to a reduced speed in response to the detection of the obstacle, detecting a vehicle contact with the obstacle in response to a first inertial measurement unit measurement, applying a brake friction force and increasing an engine torque in response to detecting the vehicle contact with the obstacle, determining a traverse of the obstacle in response to a second inertial measurement unit measurement, and resuming the control of the vehicle speed at the first speed in response to the traverse of the obstacle.