A retrofittable modular school bus safety apparatus comprising a CPU, a plurality of sensors and scanners, an electrical plug device, and an output device. The electrical plug device is preferably adapted to plug into an auxiliary power port, a USB port or an OBD port to provide electrical power to the apparatus and to provide actuatable communication to school bus devices such as lights, horns, crossing arm, etc. The sensors include machine vision sensors, proximity detection sensors, and speed detection sensors. The apparatus is adapted to “read” a vehicle's license plate via ALPR, perform facial recognition, automatically monitor and warn/alert traffic proximate the school bus, to automatically respond with an appropriate level of response depending on an observed level of a moving violation, and to automatically wirelessly obtain the traffic laws/regulations applicable to location of the school bus and to operate accordingly.

A driving assistance system includes at least one receiving module designed to receive perception data from a driving environment, a control module designed to control an on-board system, a conversion module designed to generate, on the basis of the perception data, a plurality of instances of classes of an ontology stored by the driving assistance system and defining relations between classes, and a reasoning tool designed to deduce, on the basis of the ontology, at least one property of an instance of the plurality. The control module is designed to control the on-board system on the basis of the deduced property.

The present disclosure relates to an intuitive haptic alert system that: (1) Identifies a second vehicle; projects a series of virtual waves emanating from the second vehicle at a source frequency, estimates observed frequencies of the virtual waves at the first vehicle according to the Doppler Effect, and generates a sequence of commands for a haptic motor based on the estimated observed frequencies. (2) Projects rumble zone(s) over road; identifies when the vehicle occupies the zone(s); generates a sequence of commands for a haptic motor based on: an identified occupation and received vehicle velocity.

Systems, apparatus and methods to implement sectional design (e.g., in quadrants) of an autonomous vehicle may include modular construction techniques to assemble an autonomous vehicle from multiple structural sections. The multiple structural sections may be configured to implement radial and bilateral symmetry. A structural section based configuration may include a power supply configuration (e.g., using rechargeable batteries) including a double-backed power supply system. The power supply system may include a kill switch disposed on a power supply (e.g., at an end of a rechargeable battery). The kill switch may be configured to disable the power supply system in the event of an emergency or after a collision, for example. The radial and bilateral symmetry may provide for bi-directional driving operations of the autonomous vehicle as the vehicle may not have a designated front end or a back end.

A method and system for generating and outputting a targeting warning in association with a road agent is provided. The method includes detecting, by a sensor operating in conjunction with a computing device of a vehicle, a road agent at a distance from the vehicle, analyzing, by the computing device of the vehicle, one or more characteristics of the road agent at the distance, generating, by the computing device, a targeted warning based on analyzing the one or more characteristics of the road agent at the distance, and outputting, by a component operating in conjunction with the computing device of the vehicle, the targeted warning in association with the road agent at the distance.

An apparatus for recognizing a following vehicle includes a rear radar for detecting an object located in the rear of a subject vehicle, a guardrail area detector for detecting a guardrail area of a road using a road image of front of the subject vehicle and an image of a stationary object among objects detected by the rear radar, and a following vehicle recognizing unit for recognizing, as a following vehicle, a vehicle located on a road in the same traveling direction as that of the subject vehicle among objects detected by the rear radar, wherein the following vehicle is not included in the guardrail area detected by the guardrail area detector.

A system includes a processor configured to detect a wireless signature indicating an animal presence within a predefined proximity to a vehicle. The processor is also configured to issue an alert to vehicle occupants responsive to the wireless signature detection, the alert varying based on detected signal strength. The wireless signature may be transmitted from a BLE or RFID device provided to an animal affixed to a collar, for example, or from an RFID chip embedded in an animal.

A collision avoidance apparatus includes an obstacle detection unit to detect an obstacle ahead of a vehicle; an approaching object detection unit to detect an approaching object approaching the vehicle from behind the vehicle; and an electronic control unit to calculate a collision time until the vehicle collides with the obstacle, based on the distance and relative speed of the obstacle, and starts a drive support to avoid a collision with the obstacle when the vehicle speed is a lower limit speed or greater, and the collision time is a threshold or less. When there is a likelihood for the object to collide with the vehicle from behind the vehicle, the electronic control unit lowers the lower limit speed, and/or starts drive support when the collision time is the threshold or less, even when the vehicle speed is less than the lower limit speed.

A notification device includes: a notification-sound output portion provided in a vehicle and configured to output a notification sound toward the outside of the vehicle; a notification display portion provided in the vehicle and configured to output a notification display toward the outside of the vehicle; a notification controlling portion configured to control the notification sound of the notification-sound output portion and the notification display of the notification display portion; and a stop-state determination portion configured to determine whether the vehicle during the automatic driving enters a stop state or not. When the stop-state determination portion determines that the vehicle during the automatic driving enters the stop state, the notification controlling portion outputs a stop-time notification sound as the notification sound by the notification-sound output portion and outputs a stop-time notification display as the notification display by the notification display portion.

The systems and methods are directed to a vehicle control system for use with: a vehicle communications network, at least one source of pedestrian data relevant to at least one pedestrian's location, and at least one source of vehicle system data relevant to the vehicle's location and movement. The control system can include a processor that is configured to determine a vehicle's current location and speed based on the vehicle system data, build a predetermined number of vehicle polygons hardcoded into an application for representing a predicted path of the vehicle, build at least one pedestrian polygon representing a predicted path for at least one pedestrian detected in pedestrian data, and define a plurality of warning zones based on the vehicle polygons, and determine if one or more of the pedestrian polygons intersects at least one of the predetermined number of hardcoded vehicle polygons.