An impairment analysis (“IA”) computer system for alerting a first driver of a first vehicle to a driving hazard posed by a second vehicle operated by a second driver is provided. The IA computer system is associated with the first vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) receive second vehicle data including second driver data and second vehicle condition data, where the second vehicle data is collected by a plurality of sensors included on the first vehicle; (ii) analyze the second vehicle data by applying a baseline model to the second vehicle data; (iii) determine that the second vehicle poses a driving hazard to the first vehicle based upon the analysis; and/or (iv) generate an alert signal based upon the determination that the second vehicle poses a driving hazard to the first vehicle.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a driving scenario machine learning network and providing a simulated driving environment. One of the operations is performed by receiving video data that includes multiple video frames depicting an aerial view of vehicles moving about an area. The video data is processed and driving scenario data is generated which includes information about the dynamic objects identified in the video. A machine learning network is trained using the generated driving scenario data. A 3-dimensional simulated environment is provided which is configured to allow an autonomous vehicle to interact with one or more of the dynamic objects.

The system for tracking and reporting toll road usage in real time disclosed herein may track tolling points, tolling segments, and toll assessments across multiple technologies to provide a single system that may be used universally. The system for tracking and reporting toll road usage in real time may comprise a plurality of sensors installed in a vehicle, or in a standalone module that may be installed in a vehicle, in combination with a central database for aggregating and processing the sensed information. The various sensors may include, for example, GPS-based location devices, RFID transponders and detectors, short-range wireless technology devices, inertial measurement devices, occupancy sensors, cameras, and lost mode trackers.

The system for tracking and reporting toll road usage in real time disclosed herein may track tolling points, tolling segments, and toll assessments across multiple technologies to provide a single system that may be used universally. The system for tracking and reporting toll road usage in real time may comprise a plurality of sensors installed in a vehicle, or in a standalone module that may be installed in a vehicle, in combination with a central database for aggregating and processing the sensed information. The various sensors may include, for example, GPS-based location devices, RFID transponders and detectors, short-range wireless technology devices, inertial measurement devices, occupancy sensors, cameras, and lost mode trackers.

A control device outputs control information to a sidewalk configured such that an inclination of a road surface is changeable. When the control device detects a wheelchair waiting on the sidewalk for crossing a road, the control device outputs, as the control information, information of instruction to reduce the inclination of the road surface of the sidewalk.

An embodiment mobility guidance system includes a sensor provided in a mobility and configured to capture a driving video or an image to transmit the driving video or the image, a memory configured to store a danger zone image, a detector configured to compare the driving video or the image captured by the sensor with the danger zone image stored in the memory to detect an existence of a danger zone on a driving path of the mobility, and a guide configured to set a guide zone in response to the detector detecting the existence of the danger zone and a change in a speed or an acceleration of the mobility, and to provide the guide zone to a second mobility.

A method and apparatus for aiding a police officer in writing a report by creating a depiction of an incident scene is provided herein. During operation a drone will photograph an incident scene from above. Relevant objects will be identified and a depiction of the incident scene will be created by overlaying the relevant photographed real world objects onto a map retrieved from storage. The depiction of the incident scene will be made available to police officers to increase the officers' efficiency in report writing. More particularly, officers will no longer need to re-create the depiction of the incident scene by hand. Instead, the officer will be able to use the depiction of the incident scene.

Various aspects of a system, a method, and a computer program product for determining a distance to the object on a road are disclosed herein. In accordance with an embodiment, the system includes a memory and a processor. The processor may be configured to receive visual data, location data and motion data of the vehicle corresponding to the first instance in time, and map data corresponding to the location data. The processor may be configured to calculate a distance of the vehicle from the object based on the visual data. The processor may be further configured to validate the location data, the motion data, and the calculated distance of the vehicle from the object, based on the map data. The processor may be further configured to generate output data corresponding to the object, based on the validated location data, the validated motion data, and the validated distance of the vehicle from the object.

Various aspects of a system, a method, and a computer program product for determining a distance to the object on a road are disclosed herein. In accordance with an embodiment, the system includes a memory and a processor. The processor may be configured to receive visual data, location data and motion data of the vehicle corresponding to the first instance in time, and map data corresponding to the location data. The processor may be configured to calculate a distance of the vehicle from the object based on the visual data. The processor may be further configured to validate the location data, the motion data, and the calculated distance of the vehicle from the object, based on the map data. The processor may be further configured to generate output data corresponding to the object, based on the validated location data, the validated motion data, and the validated distance of the vehicle from the object.

Systems and methods for alerting personnel (e.g., workers, emergency responders, pedestrians, observers, etc.) that a vehicle (e.g., car, truck, watercraft, etc.) has entered into, or crossed a boundary of, a protected area or zone.