A monitoring device configured to provide regulation monitoring of speed and proximity of vehicles that are adjacent to and/or passing a vehicle that is protected by regulations such as but not limited to an emergency vehicle. The present invention includes a central processing unit having the electronics to store, receive, transmit and manipulate data. The monitoring device includes a plurality of proximity sensors present on the perimeter of the vehicle that measure the distance of nearby vehicles. A speed detection module is mounted to the vehicle and is configured to measure and detect the speed of passing vehicles. A capture module is activated by the central processing unit ensuing a vehicle being detected that has violated the speed and/or proximity set points. A transceiver module will transmit data of a violating vehicle wherein the data includes date, time, license plate picture thereof.

A method may include obtaining input information relating to an environment in which an autonomous vehicle (AV) operates. The input information may describe a state of the AV, an operation of the AV within the environment, a property of the environment, or an object included in the environment. The method may include setting up a traffic rule profile for the AV that specifies societal traffic practices corresponding to a location of the environment. The method may include identifying a first traffic rule relevant to the AV based on the obtained input information and determining a first decision corresponding to the traffic rule profile and the first traffic rule. The method may include sending an instruction to a control system of the AV, the instruction describing a given operation of the AV responsive to the traffic rule profile and the first traffic rule according to the first decision.

A method may include obtaining input information relating to an environment in which an autonomous vehicle (AV) operates in which the input information describes at least one of: a state of the AV, an operation of the AV within the environment, a property of the environment, or an object included in the environment. The method may include identifying a region of interest that represents a section of the environment based on the input information and identifying a portion of the environment based on the identified region of interest. The portion of the environment may include an object that affects operation of the AV. The method may include determining a first decision that relates to the object and sending an instruction to a control system of the AV describing a given operation of the AV responsive to the object according to the first decision.

The present invention is a system and method for improving the accuracy with which human behavioral insights regarding visitor volume to places can be predicted. The process aligns at least two different data sets and normalizes the information by removing statistical bias. In a particular implementation motor vehicle data is collected from a known subset of road-borne vehicles and compared to data collected from unknown vehicles. The data is then increased or discounted to remove biases present in the known subset. The system analyzes the normalized data and returns a report including predictions to a human user.

Systems and methods described herein relate to providing guidance to vehicle drivers regarding predicted lane-change behavior of other drivers. One embodiment transforms historical vehicle trajectory data into a corresponding alternative representation; applies a clustering algorithm to group a plurality of drivers into groups of similar drivers; applies Bayesian inference to train a Bayesian neural network (BNN) for the drivers in each group; adapts the BNN for each group to generate a personalized BNN for each driver in that group; identifies a particular driver on a roadway; receives information regarding the particular driver's vehicle and one or more other nearby vehicles; estimates a probability that the particular driver will change lanes using the personalized BNN for that driver; and communicates guidance regarding predicted lane-change behavior of the particular driver to at least one nearby vehicle based, at least in part, on the estimated probability that the particular driver will change lanes.

A system for determining a road type includes processing circuitry configured to receive information from a plurality of sensors. The information corresponds to one or more of operation of a host vehicle and an environment surrounding the host vehicle. Additionally, the system determines whether one or more of the plurality of sensors detects an off highway event, classifies the road type as a local road in response to one or more of the plurality of sensors detecting an off highway event, determines whether the speed of the host vehicle is greater than a first predetermined speed for a first predetermined amount of time, and classifies the road type as a limited access highway in response to the speed of the host vehicle being greater than the first predetermined speed for the first predetermined amount of time.

A method for assisting in the parking of a vehicle in a vacant parking area, wherein the position of at least one vacant parking area is calculated on the basis of a vehicle-to-vehicle and/or a vehicle-to-infrastructure communication from the current position of the vehicle and is conveyed to a navigation apparatus of the vehicle, wherein a parking process is started by virtue of a radio key of the vehicle being placed onto a smartphone display, so that a lens in the vehicle key captures a flashing code and the radio key returns the flashing codes to the vehicle by radio.

A vehicle identification method and system are provided. The method includes: identifying a first vehicle to be a second vehicle based on a first group of data and a second group of data, the first group of data representing information of the first vehicle obtained through at least one sensor, and the second group of data representing information received from the second vehicle through an inter-vehicle communication network. By the method, an identity of the first vehicle in the inter-vehicle communication network can be known, the first group of data may be used to check the accuracy of the second group of data, and the second vehicle may be still tracked even if it is out of sight of the at least one sensor.

A movement analytics platform can generate instructions for collecting video data from a site that includes a roadway. The instructions can be provided to a device having augmented reality capabilities, wherein the instructions include content displayed by the device to indicate an area at the site that an operator of the device is to position within a field of view of a camera. A data feed received from the device can include video data corresponding to the area and contextual data to annotate the video data based on observations by the device operator. The data feed can be processed to derive movement analytics associated with the area at the site (e.g., classifications, locations, speeds, travel directions, and/or the like for one or more objects depicted in the video data). The device can be provided with additional augmented reality content based on the movement analytics.

Systems, devices and methods provide, implement, and use vision-based methods of sequence inference for a device affixed to a vehicle.