A method for automatically transporting a vehicle from a transfer zone to an assigned parking space within a predefined parking facility with the aid of a parking facility monitoring system including at least one stationary sensor unit, and pieces of information about the present vehicle position being transmitted to a central control unit. Certain areas of the parking facility are monitored by the sensor units with high accuracy, and other areas of the parking facility are monitored by the sensor units with lesser accuracy, overlapping areas of trajectories of other vehicles with a trajectory being determined by the central control unit, and the trajectory being adapted in such a way that an overlapping area ends up in an area of the parking facility which is monitored by the sensor units with high accuracy.

Aspects described herein may allow for vehicle tracking. Systems and methods described herein may allow a vehicle to automatically detect the presence of a physical marker at a parking space. An image of the physical marker may be processed to determine the location of the vehicle, which may be stored and/or output for display.

In a method for forming joints between MgB.sub.2 filaments of superconducting wires, the MgB.sub.2 filaments from the wires to be joined are exposed, and the exposed filaments are then exposed to a mixture of magnesium powder and boron powder in a furnace, and the MgB.sub.2 filaments and the magnesium and boron powders are pressed together in the furnace. The MgB.sub.2 filaments and the magnesium and the boron powders in the furnace are heated, and oxygen that is present within the furnace is preferentially trapped, and thus removed from the joint, by providing titanium within the furnace.

A parking bay monitoring system for electric vehicles includes a main unit for each parking bay, a router being housed in the main unit and connects to a network, at least one digital camera mounted in a position to take digital images of a parking bay, wherein the digital images are transmitted via the router to a central server for analysis by a visual recognition framework to generate a detection result. The system further includes a charging unit, wherein real time data relating to charging is logged and transmitted to the central server, wherein an occupancy status for each parking bay is generated based on the detection result and said data. The system generates a list containing the occupancy status of each parking bay and the said list being accessible by at least one terminal connected to the network.

In various examples, a set of object trajectories may be determined based at least in part on sensor data representative of a field of view of a sensor. The set of object trajectories may be applied to a long short-term memory (LSTM) network to train the LSTM network. An expected object trajectory for an object in the field of view of the sensor may be computed by the LSTM network based at least in part an observed object trajectory. By comparing the observed object trajectory to the expected object trajectory, a determination may be made that the observed object trajectory is indicative of an anomaly.

A recording control device includes a captured data acquisition unit that acquires captured data from a camera that captures a video of surroundings of a vehicle, a parking detection unit that detects that the vehicle is parked, a moving object detection unit that detects a moving object from captured data that is acquired by the captured data acquisition unit while the vehicle is parked, a person recognition unit that recognizes that the person detected by the moving object detection unit is a person, a behavior detection unit that detects that the person recognized by the person recognition unit is performing a specific behavior at a certain distance shorter than a predetermined distance from the vehicle, and a recording control unit that stores the captured data as event recording data if it is detected that the person is performing the specific behavior.

Systems and methods are directed towards the interpretation of driver intent relative to other vehicles. A computing device within a vehicle includes at least one camera, an output device, and circuitry. The computing device captures images of an area outside of the vehicle. The computing device identifies another vehicle relative to the vehicle. The computing device determines a driving intent of the driver, such as based on an analysis images or audio of the driver. The computing device determines whether the vehicle is moving within a threshold time after determining the driving intent. If the vehicle is moving within the threshold time, then the driver is identified as engaging in aggressive driving towards the other vehicle. The computing device may also provide information to the other vehicle indicating the driving intent of the driver.

A method for determining an ego-motion of a vehicle is described, which is carried out in driver assistance systems, particularly in parking assistance systems. The method involves: taking a sequence of images, successive in time of a vehicle surroundings by a vehicle camera; determining, based on the image sequence, at least one motion flow with regard to an object in the vehicle surroundings; and determining the ego-motion of the vehicle based on the at least one motion flow.

A method and system for parking occupancy detection comprises collecting video of the parking facility with a video capturing device, counting an occupancy of a parking facility using at least one sensor to establish a sensor occupancy count, classifying each of a plurality of parking spots as occupied or vacant with a classifier according to the classification threshold in order to establish a video occupancy count, determining a difference between the sensor occupancy count and the video occupancy count, and setting the sensor occupancy count to equal the video occupancy count if the difference between the sensor occupancy count and the video occupancy count exceeds a difference threshold.

Disclosed are devices, systems and methods for managing parking monitoring and enforcement. In one aspect, a method of determining whether a vehicle is present in a parking space includes monitoring the parking space with a first vehicle detection technique utilizing image processing and monitoring the parking space with a second vehicle detection technique that does not utilize image processing. The parking space can be monitored with a third vehicle detection technique that is different than the first and second vehicle detection techniques. A conclusion that a vehicle has entered or left the parking space can be determined upon a agreement of the multiple techniques employed.