A continuous speed variation device includes a input friction disc, a output friction disc, and at least three idle oscillating friction roller members. The input and output friction discs have a friction surface of toroidal shape and the idle oscillating roller members have a friction surface shaped in the form of a spherical dome.

A multi-core system of an electric vehicle according to an aspect of the present invention is a multi-core system for performing a plurality of applications used in an electric vehicle including a processor unit configured to perform the plurality of applications, a plurality of core units which is formed in the processor unit and assigned with at least one of the plurality of applications, and a resource unit which is commonly used in the plurality of core units and executes the plurality of applications, wherein the resource unit is formed with at least one of a GPIO, an interrupt, a timer, an analog-digital conversion module (ADC), a communication module (CAN), and a memory, and the memory is formed so that the plurality of core units transmits information to each other.

Systems, methods, and computer-readable media are disclosed for controlling one or more vehicles with the use of navigation markers positioned or integrated into a ground surface. A vehicle, such as an autonomous vehicle, may include a light detection assembly, which may include a light emitter, an optical filter, an optical sensor, and an analog-to-digital converter, and optionally may include a lens. The light emitter may emit light towards the ground surface which may illuminate the navigation marker and cause the navigation marker to emit light passes through the optical filter and is ultimately sensed by the optical sensor. The vehicle may determine the light was emitted by the navigation marker and cause the vehicle to perform the predetermined action.

A continuous speed variation device includes a input friction disc, a output friction disc, and at least three idle oscillating friction roller members. The input and output friction discs have a friction surface of toroidal shape and the idle oscillating roller members have a friction surface shaped in the form of a spherical dome.

A method for generating operable driving areas for an autonomous driving vehicle based on a path trajectory of the autonomous driving vehicle is provided. The method may form a space time (ST) graph indicating a distance of travel along the path trajectory with respect to time of the autonomous driving vehicle and path trajectories of devices intersecting with the path trajectory of the autonomous driving vehicle, wherein the path trajectory of each device is based on current and historical data for each device. The method may segment the ST graph into cells, wherein viable cells represent discretized viable unoccupied spaces in the ST graph. The method may find passage ways for the autonomous driving vehicle based on the viable cells. The method may select a desired passage way using quadratic programming (QP) optimization when multiple passage ways are found.

Provided is an analog-based machine learning apparatus and method that enables low-power sensing and smarter determinations on a vehicle. As an example, the method may include storing a machine learning model and configuration data for an analog processor in a storage device of a digital processor in a vehicle, receiving, via the analog processor, sensor data from one or more hardware sensors that are communicably coupled to the analog processor, extracting features from the sensor data, determining an event that occurred based on the configuration data and execution of a machine learning model on the extracted features of the sensor data, and storing an identifier of the event in the storage device.

Provided is an analog-based machine learning apparatus and method that enables low-power sensing and smarter determinations on a vehicle. As an example, the method may include storing a machine learning model and configuration data for an analog processor in a storage device of a digital processor in a vehicle, receiving, via the analog processor, sensor data from one or more hardware sensors that are communicably coupled to the analog processor, extracting features from the sensor data, determining an event that occurred based on the configuration data and execution of a machine learning model on the extracted features of the sensor data, and storing an identifier of the event in the storage device.

A method for generating operable driving areas for an autonomous driving vehicle based on a path trajectory of the autonomous driving vehicle is provided. The method may form a space time (ST) graph indicating a distance of travel along the path trajectory with respect to time of the autonomous driving vehicle and path trajectories of devices intersecting with the path trajectory of the autonomous driving vehicle, wherein the path trajectory of each device is based on current and historical data for each device. The method may segment the ST graph into cells, wherein viable cells represent discretized viable unoccupied spaces in the ST graph. The method may find passage ways for the autonomous driving vehicle based on the viable cells. The method may select a desired passage way using quadratic programming (QP) optimization when multiple passage ways are found.

A method for generating operable driving areas for an autonomous driving vehicle based on a path trajectory of the autonomous driving vehicle is provided. The method may form a space time (ST) graph indicating a distance of travel along the path trajectory with respect to time of the autonomous driving vehicle and path trajectories of devices intersecting with the path trajectory of the autonomous driving vehicle. The method may segment the ST graph into cells, wherein viable cells represent discretized viable unoccupied spaces in the ST graph. The method may find passage ways for the autonomous driving vehicle based on the viable cells. The method may select a desired passage way using quadratic programming (QP) optimization when multiple passage ways are found.