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.

An apparatus for generating non-electric control signals for a brake system, which has a first supply source, including: at least one interface configured to be connected to a pressure accumulator; and at least one interface to output the control signals; in which the apparatus is configured to be supplied via a second supply source. Also described are a related module and an electronic brake system.

A driving assistance device includes a guide line detecting unit configured to detect the guide line, a remaining distance acquiring unit configured to acquire a remaining distance to the scheduled stop position, and a braking control unit configured to control deceleration of a vehicle. The guide line detecting unit detects a base-point mark, a curvature of the guide line, and a curvature feature point. The remaining distance acquiring unit acquires the remaining distance on the basis of the position of the base-point mark when the guide line detecting unit has detected the base-point mark, and acquires the remaining distance on the basis of the position of the curvature feature point when the guide line detecting unit has not detect the base-point mark and has detected the curvature feature point.

A system for controlling stop of a vehicle includes a steering angle comparison device that detects a current steering angle of the vehicle and compares the detected current steering angle with a preset limit steering angle when a malfunction of a steering system in the vehicle is detected during autonomous driving, a partial braking induction determination device that determines a position of a tire of the vehicle to be subjected to partial braking for steering control of the vehicle according to a result of the comparing between the current steering angle and the limit steering angle, and a partial braking control device that determines an amount of braking to be applied to each determined tire of the vehicle and applies a braking pressure corresponding to the amount of braking to each tire of the vehicle to perform the steering control by the partial braking.

The present disclosure relates to a control unit of an electronic parking brake system, including: a plurality of driver circuits which are respectively connected to a first motor and a second motor for providing a driving force to an electronic parking brake to control the first motor and the second motor; a first micro control unit (MCU) which has a plurality of core processors and is connected to a first driver circuit and a second driver circuit receiving a first power according to a reception of an electric parking brake (EPB) switch signal; and a second MCU which has at least one core processor and is connected to a third driver circuit receiving a second power. The control unit can be applied to other exemplary embodiments.

Methods and systems are described for vehicle coasting optimization. The system may include a vehicle having an engine, a drivetrain, and an accelerator. The system may include selecting a fuel-saving mode based on an anticipated braking requirement in response to detecting the vehicle is non-stationary and the accelerator is disengaged. The system may include generating an instruction corresponding the selected fuel-saving mode, wherein the instruction is configured to control at least the engine and the drivetrain.

In one embodiment, a method for monitoring a localization function in an autonomous driving vehicle (ADV) can use known static objects as ground truths to determine when the localization function encounter errors. The known static objects are marked on a high definition (HD) map for the real-time driving environment. When the ADV detects one or more known static objects, the ADV can use sensor data, locations of the one or more static objects, and one or more error tolerance parameters to create a localization error tolerance area surrounding a current location of the ADV. The ADV can project the tolerance area on the HD map, performs a localization operation to generate an expected location of the ADV on the HD map, and determines whether the generated location falls within the projected tolerance area. If the generated location falls outside the projected tolerance area, indicating a localization function of the ADV encounter errors, the ADV can generate an alarm to alert a human driver to switch to a manual driving mode. If no human driver is available in the ADV, the ADV can activate a vision-based fail-safe localization procedure.

A system for navigating a host vehicle includes at least one electronic horizon processor to access a map representative of at least a road segment on which the host vehicle travels or is expected to travel, wherein the map includes one or more splines representative of road features associated with the road segment, localize the host vehicle relative to a drivable path for the host vehicle represented among the one or more splines, determine a set of points associated with the one or more splines based on the localization of the host vehicle relative to the drivable path for the host vehicle, and generate a navigation information packet including information associated with the one or more splines and the determined set of points relative to the one or more splines.

A motion system and method of managing health of the motion system uses at least one multi-dimensional motor operational parameter (MOP) model and motion variables used by a servo drive of the motion system to calculate at least one health indication value for the motion system. The health indication value is used to generate a notification for maintenance of the motion system.

Systems and methods for complementary control of an autonomous vehicle (AV) are disclosed. The methods include receiving information comprising an active trajectory of an AV that the AV intends to following for a planning horizon. The methods also include using the active trajectory to identify one or more regions in an environment of the AV such as a fallback monitoring region (FMR) and an active monitoring region (AMR), and generating one or more instructions for causing the AV to execute a collision mitigation action in response to an object being detected within the AMR. The methods further include transmitting the one or more instructions to an AV platform (AVP) for execution.