Excess fuel consumption monitor and feedback systems for vehicles include sensor arrays of two primary types including those sensors deployed as part of a vehicle manufacturer established sensor suite and sensors deployed as after-market sensors. Together, these sensor suites include sensors coupled to vehicle subsystems and operating environments associated with the vehicle. Data from these sensors may be used as parametric inputs to drive algorithmic calculations which have outputs that express excess fuel consumption. Expressions of excess fuel consumption may be made instantaneously as real-time feedback to a vehicle operator/driver and/or a fleet manager as part of a summary report.

A driver assistance system for avoiding collisions includes an environmental sensor for detecting the traffic environment of the vehicle and a processing unit configured to assess the traffic environment as to the likelihood of a danger and plan a route avoiding or at least minimizing the danger for the vehicle. The processing unit is further configured to predict a possible control intervention of the driver in reaction to the danger and select a route which is compatible with that control intervention.

A driving assistance control device for a vehicle includes: a moving object detection sensor configured to detect a moving object moving along a roadside in a traveling direction of the vehicle; a driving operation detection sensor configured to detect a driving operation of a driver; an actuator; and an Electronic Control Unit configured to perform automatic steering control of the vehicle by the actuator to avoid the moving object based on a detection result of the moving object, the Electronic Control Unit being configured to start the automatic steering control based on a driving steering of the driver after the moving object is detected.

The present disclosure provides an assisted driving method, including: monitoring, in response to that a driving speed of a vehicle is less than or equal to a preset speed and a steering wheel direction is deflected within a first preset time period, an instantaneous oil consumption value of the vehicle; determining whether the instantaneous oil consumption value of the vehicle reaches a first preset reference value within a second preset time period; and sending a reminding message in response to that the instantaneous oil consumption value of the vehicle reaches the first preset reference value within the second preset time period. The present disclosure further provides an assisted driving apparatus, an electronic apparatus, a vehicle-mounted system, and a storage medium.

A control system of an unmanned vehicle includes a traveling control unit that outputs a first command for starting the unmanned vehicle. When the unmanned vehicle is determined not to be started by a first command, a traveling control unit outputs a second command that causes the unmanned vehicle to generate assist driving force.

An apparatus for calculating torque of a vehicle for exiting drift driving may include a processor and a non-transitory computer-readable storage medium storing a program which, when executed by the processor, causes: determining a driver's intention to exit drift driving based on an opening degree of an accelerator pedal and a steering angle; and calculating target torque of a front wheel motor based on the opening degree of the accelerator pedal when the driver's intention to exit drift driving is determined.

A vehicle control system includes an automated driving controller configured to execute automated driving of a vehicle by automatically performing at least one of speed control and steering control of the vehicle, an operation reception section configured to receive an operation to switch a shift position of the vehicle, and an operation controller configured to limit reception, by the operation reception section, of the operation to switch the shift position while the automated driving is being executed by the automated driving controller.

A method estimates tire pressure of vehicle. For each tire, signals or data indicative of angular velocity of the wheel with which the tire is associated are acquired. A subset of detected signals or data acquired in rectilinear vehicle travel condition is selected. Pressure relationship between tires of each pair of wheels of the same axle is determined by comparing the rolling radius of the wheel on which a first tire is mounted and the rolling radius of the wheel on which a second tire is mounted. A pressure relationship between tire pairs is determined for comparison between the mean value of the rolling radii of wheels of a first axle and the mean value of the rolling radii of wheels of a second axle. Ratios are calculated based on signals or data indicative of angular velocity of the wheels and on slippage of the drive wheels.

In a vehicle travel control apparatus configured to determine a target acceleration of an own vehicle based on an inter-vehicle distance to a predicted cutting-in vehicle predicted to cut in between the own vehicle and a following target vehicle as well as an inter-vehicle distance to the following target vehicle, it is necessary to notify a driver of the presence of the predicted cutting-in vehicle at an appropriate timing. A cutting-in probability, which is a probability that the predicted cutting-in vehicle carries out the cutting in, is acquired, and information on the predicted cutting-in vehicle is notified to the driver from a time point when a state where the cutting-in probability is higher than a start probability threshold has continued for a predetermined period to a time point when a state where the cutting-in probability is lower than an end probability threshold has continued for a predetermined period.

A method of controlling the operation of a foldable accelerator pedal device in manual driving mode of an autonomous driving vehicle includes: when an autonomous driving vehicle provided with a foldable accelerator pedal device is driven in manual driving mode and the speed of the autonomous driving vehicle exceeds the driving speed limit of a road, a safety mode, which includes a haptic mode and a pedal pad protrusion reducing mode, and a pedal pad hiding mode, is activated using an actuator provided for a folding function of a pedal pad.