Provided is a vehicle control device configured to execute, when a driver is in an abnormal state, deceleration control for decelerating a vehicle to stop the vehicle, the vehicle control device being further configured to determine whether the vehicle is likely to stop at a specific spot based on an image acquired by an image sensor during the execution of the deceleration control, the specific spot being a spot at which another physical body moves in a direction intersecting with a travel direction of the vehicle, and the vehicle control device being further configured to, when the vehicle is likely to stop at the specific spot, execute control for causing the vehicle to pass through the specific spot and stop the vehicle thereafter.

In an information processing device, a determining unit is configured to, based on vehicle information including positional information and speed information of a vehicle, and map information, determine whether a difference between a movement speed derived from the positional information of the vehicle and a speed of the vehicle based on the speed information at an intersection including a temporary stop line is less than a speed threshold value. A specifying unit is configured to, in a case where determination is made that the difference is less than the speed threshold value, specify a presence or absence of a temporary stop of the vehicle at the temporary stop line based on the vehicle information.

A method of decelerating a plurality of vehicles along a roadway may include, at a first vehicle, receiving, from an adjacent downstream vehicle, a first braking initiation signal and a first deceleration value indicating a deceleration rate of the adjacent downstream vehicle, determining a first distance to the adjacent downstream vehicle, and determining, based at least in part on the first distance, a second deceleration value configured to prevent the first vehicle from colliding with the adjacent downstream vehicle. The method may further include in accordance with a determination that the second deceleration value is greater than or equal to an upper deceleration value, decelerating at the upper deceleration value, and, in accordance with a determination that the second deceleration value is less than the upper deceleration value and greater than a lower deceleration target, decelerating at the second deceleration value.

The disclosure describes various embodiments for detecting an unexpected control state of an autonomous driving system. According to an embodiment, an exemplary method of detecting an unexpected control state of an autonomous driving system include the operations of generating environmental data of a vehicle; determining, by the autonomous driving system, a first control state based on the environmental data of the vehicle; determining, by a reference model, a second control state based on the environmental data, wherein the reference model defines at least one scenario each corresponding to a plurality of expected control states and a state switching condition, and in each of the expected control states corresponding to the scenario, an action of the vehicle in the scenario obeys a traffic rule; and determining the unexpected control state of the autonomous driving system by comparing the first control state with the second control state.

A control device of an automatic drive vehicle includes: an information acquisition unit that acquires power generator information as information on a power generator provided in the automatic drive vehicle; an operation control unit that switches between a first state in which automatic driving of the automatic drive vehicle is executed without restriction and a second state in which the automatic driving is partially or entirely restricted; and a determination unit that determines whether to perform switching to the second state by the operation control unit.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system sets an allowable lateral acceleration, based on a physical abnormality of a driver; detects a plurality of stop point candidates in a traveling direction of a vehicle; estimates a lateral acceleration to be generated during traveling of the vehicle to each of the candidates; estimates a rear-end collision risk that the vehicle will be rear-ended by a following vehicle; sets a stop point; and controls the vehicle to travel to the stop point and stop at the stop point. The system is operable to set, as the stop point, one of the candidates which satisfies a condition that the lateral acceleration estimated with respect thereto is equal to or less than the allowable lateral acceleration and which is lowest in terms of the rear-end collision risk.

Disclosed is a method for controlling the powertrain of a motor vehicle between the current location of the vehicle and an arrival point, including calculating a theoretical optimal traction force, determining a friction force applied to the vehicle, calculating an actual optimal force to be applied to the wheels as far as the arrival point, and applying a traction force to the wheels of the vehicle when the calculated actual optimal force is strictly greater than a predetermined threshold value or else not applying a force to the wheels of the vehicle when the calculated actual optimal force is greater than or equal to zero and less than or equal to the predetermined threshold value, or else applying a braking force to the wheels of the vehicle when the calculated actual optimal force is strictly less than zero.

According to various embodiment, described herein are methods and systems for reliably detecting malfunctions in a variety of software or hardware components in an autonomous driving vehicle (ADV). In one embodiment, a redundant system can be provided on an independent computing device in an ADV to check for malfunctions in a number of software or hardware components. When no malfunction occurs in the ADV, an autonomous driving system (ADS) in the ADV operates to drive the ADV, while the redundant system can monitor the ADS in a standby mode. In the event of a malfunction, the redundant system can take over the control of the ADV, and take appropriate actions based on a severity level of the malfunction.

An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).

One embodiment of a braking system for vehicles may have a first brake group and a second brake group. The first and second brake groups may have respective braking devices and electro-hydraulic actuator devices operatively connected to the first braking device. The system may also have an interconnection branch between first and the second hydraulic actuation ducts, provided with a control valve. The system may also have at least one control unit that may be programmed to actuate the control valve to control the ducts and fluidly connect the ducts.