A system for audibly communicating a status of at least one operably connected device or system, includes a status module configured to receive a signal representative of a status of the at least one operably connected device or system and a transceiver operably connected to the status module, wherein the transceiver is configured to receive signals from the status module and to transmit a sound.

A system for audibly communicating a status of at least one operably connected device or system, includes a status module configured to receive a signal representative of a status of the at least one operably connected device or system and a transceiver operably connected to the status module, wherein the transceiver is configured to receive signals from the status module and to transmit a sound.

Methods and systems for Beyond-the-Horizon Threat Indication (BHTI) for vehicles are described. A system and a method may involve receiving motion information of a first vehicle. The system and the method may also involve receiving vicinity data corresponding to a vicinity of the first vehicle. The system and the method may also involve determining whether the first vehicle is subject to a potential hazard within the vicinity based on the motion information and the vicinity data. The system and the method may further involves alerting the first vehicle about the potential hazard in response to the determining of the potential hazard.

Vehicle cabin monitoring using a radar unit centrally positioned within the cabin to obtain image data of the vehicle cabin and a processor to generate detect occupancy of seats within the vehicle cabin, categorize occupants, detect posture, determine seatbelt status and monitor life signs of the occupants. An output unit may execute responses appropriate to the status of occupants of the vehicle cabin.

Vehicle cabin monitoring using a radar unit centrally positioned within the cabin to obtain image data of the vehicle cabin and a processor to generate detect occupancy of seats within the vehicle cabin, categorize occupants, detect posture, determine seatbelt status and monitor life signs of the occupants. An output unit may execute responses appropriate to the status of occupants of the vehicle cabin.

A sensing apparatus for detecting speed bumps or potholes on a road is disclosed. The sensing apparatus comprises a telemetric sensing system configured to collect a plurality of position vectors by telemetric sensing of a road surface, wherein each position vector extends from a common origin to a respective point on the road surface and wherein each position vector has a length and a direction. The sensing apparatus further comprises a processing circuitry configured to detect a road flatness exception by evaluating the lengths of the position vectors. Thus, an improved apparatus for detecting road irregularities such as speed bumps or potholes on a road is provided. The sensing apparatus remains functional in low light conditions, e.g., at night, and also in the presence of reverberation of the vehicle. In an implementation form, the telemetric sensing system may comprise one or more radar sensors and/or one or more lidar sensors for collecting the plurality of position vectors using radar and/or lidar measurements.

A sensing apparatus for detecting speed bumps or potholes on a road is disclosed. The sensing apparatus comprises a telemetric sensing system configured to collect a plurality of position vectors by telemetric sensing of a road surface, wherein each position vector extends from a common origin to a respective point on the road surface and wherein each position vector has a length and a direction. The sensing apparatus further comprises a processing circuitry configured to detect a road flatness exception by evaluating the lengths of the position vectors. Thus, an improved apparatus for detecting road irregularities such as speed bumps or potholes on a road is provided. The sensing apparatus remains functional in low light conditions, e.g., at night, and also in the presence of reverberation of the vehicle. In an implementation form, the telemetric sensing system may comprise one or more radar sensors and/or one or more lidar sensors for collecting the plurality of position vectors using radar and/or lidar measurements.

Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods comprising at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability further comprising one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and/or passengers including activities related to the use of cellular telephones and/or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the motor vehicle driver use of a cellular telephone and/or other wireless communication devices.

An apparatus includes: a first sensor configured to provide a first input associated with an environment outside a vehicle; a second sensor configured to provide a second input associated with an operation of the vehicle; and a processing unit having a first-stage processing system and a second-stage processing system; the first-stage processing system configured to receive the first input and the second input, process the first input to obtain a first time series of information, and process the second input to obtain a second time series of information; wherein the second-stage processing system comprises a neural network model configured to receive the first time series of information and a second time series of information in parallel; and wherein the neural network is configured to process the first time series and the second time series to determine a probability of a predicted event associated with an operation of the vehicle.

An apparatus for ascertaining, from at least one image, a delimited region and/or a motion path of at least one object includes at least one artificial neural network (ANN) made up of several successive layers. The first layer of the ANN receives as input the at least one image or a part thereof. The second layer supplies as output a boundary line of the delimited region, a linear course of the motion path, or a portion of the boundary line or motion path. The dimensionality of the second layer is lower than the dimensionality of the first layer.