This application discloses a method and an apparatus for detecting a complexity of a traveling scenario of a vehicle, comprising: obtaining a travelling speed of the vehicle and a travelling speed of a target vehicle; determining, based on the traveling speed of the vehicle and the traveling speed of the target vehicle, a dynamic complexity of a traveling scenario in which the vehicle is located; determining static information of each static factor in the traveling scenario in which the vehicle is currently located; obtaining, based on the static information of each static factor, a static complexity of the traveling scenario in which the vehicle is located; and obtaining, based on the dynamic complexity and the static complexity, a comprehensive complexity of the traveling scenario in which the vehicle is located.

A road condition detection device, to be coupled to the wheel of a vehicle, is provided with: an electrostatic charge variation sensor, to provide a charge variation signal indicative of an electrostatic charge variation associated with the rotation of the wheel; and a processing unit, coupled to the electrostatic charge variation sensor to receive the charge variation signal and furthermore for receiving a rotation speed signal indicative of the rotation speed of the wheel. In particular, the processing unit jointly processes the rotation speed signal and the charge variation signal to detect a road condition of a wet road condition and a dry road condition.

A road condition detection device, to be coupled to the wheel of a vehicle, is provided with: an electrostatic charge variation sensor, to provide a charge variation signal indicative of an electrostatic charge variation associated with the rotation of the wheel; and a processing unit, coupled to the electrostatic charge variation sensor to receive the charge variation signal and furthermore for receiving a rotation speed signal indicative of the rotation speed of the wheel. In particular, the processing unit jointly processes the rotation speed signal and the charge variation signal to detect a road condition of a wet road condition and a dry road condition.

A system adapted to detect road condition in a vehicle and a method thereof uses geometrical laser projections and an image processing system. The system includes a laser source, an imaging unit and at least a processing unit. The laser source is adapted to project geometrical laser projections on the road. The imaging unit is adapted to capture images of the geometrical projections. The processing unit is configured to calculate a surface reflectance for the projected geometrical projection. Further it is configured to compute geometrical parameters of the projections at regular time intervals based on the captured images. It determines a road condition based on the surface reflectance and the geometrical parameters.

A system and method for slowing a vehicle. Road conditions around the vehicle are monitored, and determined if those road conditions are hazardous. An engine control unit is informed of the hazardous road conditions and alters the operation of the engine control unit in response to the hazardous road conditions. When an operator of the vehicle desires to slow the vehicle down, an indication is received indicating the intent to slow the vehicle down. The vehicle is then slowed based upon the altered operation of the engine control unit by applying a vacuum to increase a manifold vacuum of the engine.

A system and method for slowing a vehicle. Road conditions around the vehicle are monitored, and determined if those road conditions are hazardous. An engine control unit is informed of the hazardous road conditions and alters the operation of the engine control unit in response to the hazardous road conditions. When an operator of the vehicle desires to slow the vehicle down, an indication is received indicating the intent to slow the vehicle down. The vehicle is then slowed based upon the altered operation of the engine control unit by applying a vacuum to increase a manifold vacuum of the engine.

An automatic cruise control system for controlling at least a powertrain of a vehicle, the cruise control system being configured to automatically control a vehicle speed to a target speed determined based on a set speed and on information relating to a road topography along an expected travelling route of the vehicle. The automatic cruise control system is configured to: while automatically controlling the vehicle speed to the target speed, receive an indication that a slippery road condition applies or is expected to apply, in response to receiving said indication, activate a predefined slippery road condition driving mode in which predetermined restrictions apply, said restrictions relating to at least one of the vehicle speed, an allowable vehicle acceleration, and a gear selection of the powertrain, control at least the powertrain in accordance with the slippery road condition driving mode.

An automatic cruise control system for controlling at least a powertrain of a vehicle, the cruise control system being configured to automatically control a vehicle speed to a target speed determined based on a set speed and on information relating to a road topography along an expected travelling route of the vehicle. The automatic cruise control system is configured to: while automatically controlling the vehicle speed to the target speed, receive an indication that a slippery road condition applies or is expected to apply, in response to receiving said indication, activate a predefined slippery road condition driving mode in which predetermined restrictions apply, said restrictions relating to at least one of the vehicle speed, an allowable vehicle acceleration, and a gear selection of the powertrain, control at least the powertrain in accordance with the slippery road condition driving mode.

Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.