Presented are intelligent electronic footwear and apparel with controller-automated features, methods for making/operating such footwear and apparel, and control systems for executing automated features of such footwear and apparel. A method for operating an intelligent electronic shoe (IES) includes receiving, e.g., via a controller through a wireless communications device from a GPS satellite service, location data of a user. The controller also receives, e.g., from a backend server-class computer or other remote computing node, location data for a target object or site, such as a virtual shoe hidden at a virtual spot. The controller retrieves or predicts path plan data including a derived route for traversing from the user's location to the target's location within a geographic area. The controller then transmits command signals to a navigation alert system mounted to the IES's shoe structure to output visual, audio, and/or tactile cues that guide the user along the derived route.

Presented are intelligent electronic footwear and apparel with controller-automated features, methods for making/operating such footwear and apparel, and control systems for executing automated features of such footwear and apparel. A method for automating a collaborative operation between an intelligent electronic shoe (IES) and an intelligent transportation management (ITM) system includes receiving, via a detection tag attached to the IES shoe structure, a prompt signal from a transmitter-detector module communicatively connected to a traffic system controller of the ITM system. In reaction to the received prompt signal, the detection tag transmits a response signal to the transmitter-detector module. The traffic system controller uses the response signal to determine a location of the IES's user, and the current operating state of a traffic signal proximate the user's location. The traffic system controller transmits a command signal to the traffic signal to switch from the current operating state to a new operating state.

An electronic latch system for a motor vehicle includes an electronic latch (e-latch) including an e-latch controller within a door of the vehicle. A plurality of radar sensors are located within the door for performing non-contact detection of objects around the vehicle. The radar sensors include an outside-face sensor adjacent an outside face of the door to sense an object within a first sensing zone extending from the outside face. The radar sensors also include an inner sensor adjacent an inside surface of the door to sense an object within a second sensing zone extending from the inside surface. The radar sensors also include a shut-face sensor adjacent a shut face of the door to sense an object within a third sensing zone extending from the shut face. The e-latch includes a light source for projecting a warning image and an audio source for generating an audible warning.

An autonomous vehicle can obtain sensor data. Upon determining that the autonomous vehicle is in a lane adjacent a shoulder, and there is an object in the shoulder, the autonomous vehicle can determine if performing a lane change maneuver out of the lane prior to the autonomous vehicle being positioned adjacent to the object is feasible. If it is, the lane change maneuver can be performed. If it is not, a nudge maneuver and/or a deceleration can be performed.

A vehicle configured to alert pedestrians. The vehicle includes a driver-assist system including a memory device, a processor, and at least one camera. The memory device includes instructions which, when executed by the processor, cause the processor to detect, utilizing the at least one camera, at least one pedestrian near the vehicle, determine a proximity of the at least one pedestrian to the vehicle, compare the proximity to a threshold proximity, and automatically emit an audible alert from the vehicle in response to the proximity being less than the threshold proximity.

A collision avoidance assistance device for a vehicle is provided. The collision avoidance assistance device includes a camera configured to acquire an image of an area around the vehicle and a controller. The controller is configured to: detect an image of an animal in the image of the area around the vehicle; determine a type of the animal detected in the image; retrieve behavior characteristics index values representing behavior characteristics of the determined type of the animal; calculate a future presence area of the animal based on the behavior characteristics index values; determine a probability of a collision between the animal and the vehicle based on the calculated future presence area of the animal; and perform a collision avoidance assistance function based on the determined probability of the collision between the animal and the vehicle.

A computer-implemented method of updating an auto insurance policy is provided. The method may include (1) determining that a customer's mobile device has a Telematics Application (“App”) installed on it, the Telematics App configured to (i) receive telematics data associated with another vehicle via a wireless communication broadcast; (ii) determine a travel event from analysis of the telematics data received, and (iii) generate a corrective action based upon the telematics data received or travel event determined that alleviates the risk of vehicle collision. The method may also include (2) monitoring, with the customer's permission, an amount or percentage of usage of the Telematics App on the customer's mobile device while the customer is driving in an insured vehicle; and (3) adjusting an insurance policy premium or discount based upon usage of the Telematics App to facilitate rewarding risk-averse drivers and encourage usage of risk mitigation or prevention technology.

A method for regulating the light emission from a vehicle light, wherein a road user located in the light emission direction of the vehicle light is detected, and the light emission from the vehicle light is changed, whereupon response data on the response of the road user to the change in the light emission are acquired. Prediction data indicating the response expected from a road user located in the light emission direction of the vehicle light to the changed light emission are determined. The acquired response data are compared with the determined prediction data, if the prediction data deviate from the response data, the adjustment in the light emission from the vehicle light by which a reduction in the deviation is predicted is determined, and the light emission is regulated according to the determined adjustment. Further, the invention relates to a device for carrying out this method.

The disclosure is related to a method and a system for assisting a driver of a road vehicle. A data processing unit receives data representing at least a relative position of the road vehicle, outputs, through a display device and/or an interior lighting device, a visual alert when the data processing unit determines that the data fulfill a first condition, and outputs, through a sound-emitting device, an audible alert when the data processing unit determines that the data fulfill a second condition after fulfilling the first condition.

Systems and methods are disclosed for a pedestrian warning system. An example disclosed method to simulate noise for an electric or noise-dampened vehicle to warning pedestrians includes producing a first sound at a first frequency range from a first sound generator located at a front of the vehicle. The method also includes producing a second sound at a second frequency range from a second sound generator located under the vehicle. Additionally, the example method includes adjusting the acoustic characteristics of the first and second sounds based on vehicle motion data.