A charging support device is used in charging a battery of a vehicle having a power reception unit on a bottom surface of the vehicle with power supplied from a power transmission device located outside the vehicle. The charging support device includes a controller that generates an overhead view image that displays a vehicle image of the vehicle and an image of a surrounding area of the vehicle captured by a camera. The controller displays, in the overhead view image, (i) a first mark indicating a position of the power reception unit and (ii) a second mark indicating a position of the power transmission device. The controller varies a color or a size of the second mark in a case where a positional relationship between the position of the power reception unit and the position of the power transmission device achieves a predetermined charging efficiency.

A recording medium records an information processing program for causing a computer to execute processing including: acquiring an image from an imaging device provided in a first moving body; estimating a self-position of the first moving body by a first algorithm based on the image; generating a first point group that indicates a three-dimensional shape around the first moving body; generating a second point group that indicates the three-dimensional shape by a second algorithm based on data used in the first algorithm; merging the first point group and second point group so as to generate a third point group; extracting a space of an area group where a second moving body is parked from the third point group based on a movement track of the first moving body and information regarding a size of the second moving body; dividing the extracted space; and specifying each area of the area group.

A parking assistance apparatus includes a processor and a memory. The processor extracts a parking space from a surrounding image of a vehicle and generates an image in which a target parking position is in overlap with the parking space, the surrounding image being captured by an imaging apparatus provided in the vehicle. The memory stores history information associating a parking position of the vehicle with the parking space. The processor adjusts a position of the target parking position in the image on the basis of the history information.

The invention relates to a method for producing images of a stored three-dimensional model (30) of the surroundings of a vehicle (20), said images having been corrected for perspective. A camera picture (32) is produced by a camera device (21) of the vehicle, and the produced camera picture (32) is projected onto a projection surface (31) in the surroundings model. A region (33) relevant for driving is marked in said stored three-dimensional surroundings model (30), and this marked region (33) is projected onto a corresponding projection surface area (35) of the projection surface (31). An image of the projection surface (31) with the region (33) projected onto the projection surface area (35) is produced and output by means of a virtual camera (72) that can move freely in the surroundings model (30).

Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system for detecting whether a road on which a host vehicle travels is a one-way road may include at least one processing device. The processing device may be programmed to receive at least one image associated with an environment of the host vehicle, identify a first plurality of vehicles on a first side of the road, identify a second plurality of vehicles on a second side of the road, determine a first facing direction associated with the first plurality of vehicles, determine a second facing direction associated with the second plurality of vehicles, and cause at least one navigational change of the host vehicle when the first facing direction and the second facing direction are both opposite to a heading direction of the host vehicle.

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.

The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.

A self position estimation method is provided which is capable of accurately estimating, when executing automatic parking to a parking target position using a stored surrounding situation, a position of a host vehicle or a target in the surrounding situation stored in a storage device. The method includes a step that presents the stored surrounding situation, a step that receives an operation of setting a positional relationship between the stored surrounding situation, and at least one of the host vehicle and the targets existing around the host vehicle, and a step that sets a position of at least one of the host vehicle and the target in the stored surrounding situation based on the operation.

A detector detects demarcation lines. A first grouper groups the detected demarcation lines into groups corresponding respectively to first predetermined areas. A first extractor extracts the demarcation line with the highest level of reliability from each of a first and a second group created by the first grouper. A second grouper extracts, from the detected demarcation lines, demarcation lines corresponding respectively to second predetermined areas each with respect to one of the demarcation lines extracted by the first extractor from the first and second groups respectively, and groups the extracted demarcation lines into a third and a fourth group respectively. A second extractor extracts, from the third group, the demarcation line closest to the fourth group and extracts, from the fourth group, the demarcation line closest to the third group. A constructor constructs a parking frame based on the demarcation lines extracted by the second extractor.

A display control device includes a video data acquiring unit that acquires video data from a plurality of cameras photographing a periphery of a vehicle, a bird's-eye view video generator that applies view point conversion processing and synthesis processing to the video data to generate a bird's-eye view video, an adjacent information acquiring unit that acquires first obstacle information serving as information about obstacles around the vehicle when the vehicle has moved backward and entered the parked state, and second obstacle information serving as the information about the obstacles around the vehicle when the vehicle moves forward to exit the parked state, a comparing unit that compares the first obstacle information with the second obstacle information to determine whether the number of obstacles around the vehicle has increased when the vehicle exits the parked state, and a display controller.