A personalization system for a vehicle includes an image-capture device configured to capture a plurality of images of one or more occupants in the vehicle and control circuitry configured to estimate a plurality of Z-heights of a plurality of body portions of each of the one or more occupants from a reference position in the vehicle, based on the plurality of images captured from the image-capture device, determine an associative relationship between the plurality of Z-heights of the plurality of body portions of each of the one or more occupants in the vehicle and a plurality of in-vehicle systems, based on defined user-preferences, and control the plurality of in-vehicle systems to direct an output from a corresponding in-vehicle system to a specific body portion of each of the one or more occupants in the vehicle, based on the estimated plurality of Z-heights and the determined associative relationship.

Techniques are described for automating the check in and check out process at a logistics facility. For example, a sensor system may be configured to capture sensor data associated with an approaching vehicle. The sensor system may utilize the sensor data to extra information usable to complete forms, assess damage, and authenticate the shipment.

A personalization system for a vehicle includes an image-capture device configured to capture a plurality of images of one or more occupants in the vehicle and control circuitry configured to estimate a plurality of Z-heights of a plurality of body portions of each of the one or more occupants from a reference position in the vehicle, based on the plurality of images captured from the image-capture device, determine an associative relationship between the plurality of Z-heights of the plurality of body portions of each of the one or more occupants in the vehicle and a plurality of in-vehicle systems, based on defined user-preferences, and control the plurality of in-vehicle systems to direct an output from a corresponding in-vehicle system to a specific body portion of each of the one or more occupants in the vehicle, based on the estimated plurality of Z-heights and the determined associative relationship.

There is provided a system for generating instructions for adjustment of vehicle sub-system(s) according to an analysis of a computed six degrees of freedom (6 DOF) of vehicle occupant(s), comprising: hardware processor(s), and a non-transitory memory having stored thereon a code for execution by the at least one hardware processor, the code comprising instructions for: obtaining at least one image of a cabin of a vehicle captured by an image sensor, obtaining depth data from a depth sensor that senses the cabin of the vehicle, wherein the at least one image and the depth data depict at least one head of at least one occupant, computing 6 DOF for the at least one head according to the at least one image and depth data, and generating instructions for adjustment of at least one vehicle sub-system according to the computed 6 DOF of the at least one vehicle occupant.

An orientation device, an orientation system and an orientation method are provided. The orientation device includes a seat body, a pressure sensor, and a computing unit. The seat body includes a bearing surface, and the seat body is non-directional. The pressure sensor is disposed below the bearing surface. The pressure sensor is configured to obtain a plurality of pressure data of the bearing surface when an object is disposed on the bearing surface. The computing unit is coupled to the pressure sensor. The computing unit is configured to analyze the pressure data to obtain a direction data. The direction data is configured to determine a first direction of the seat body.

A vehicle control method is disclosed which is a method for adjusting a seat inside a vehicle. The vehicle control method includes: monitoring the surroundings of a passenger sitting in the seat through a camera installed inside the vehicle; sensing an object around the passenger through the monitoring; sending information on the sensed object to a server; receiving a preset seat setting value corresponding to the object information from the server; and adjusting the position of the seat according to the seat setting value. One or more of an autonomous vehicle according to the present invention, a user terminal, and a server may be associated with artificial intelligence, a robot, augmented reality (AR), virtual reality (VR), etc.

The present invention provides a travel control apparatus (20) including an in-vehicle image acquisition unit (21) that acquires an in-vehicle image generated by a camera for capturing an inside of a vehicle compartment of a reserved vehicle, an in-vehicle sensing unit (22) that senses that a reserving person is present within a vehicle compartment of the reserved vehicle, based on the in-vehicle image, and a permission output unit (23) that outputs, when it is sensed that the reserving person is present within a vehicle compartment of the reserved vehicle, travel permission of the reserved vehicle.

Methods, systems, and apparatuses for presentation of advertising content during presentation of media content and based on data collected from vehicle sensors and a mobile device. Media content, such as stored songs, podcasts, or videos, may be presented to a user. Sensor data corresponding to operation of a vehicle may be collected, and a risk score based on operation of the vehicle may be determined. Based on the risk score, an advertising tier may be determined. The scope of media content available to a user and the frequency of presentation of advertising content during presentation of such media content may be based on the risk score. For example, safe driving behaviors may result in rewards which permit access to more media content, and/or safe driving behaviors may result in fewer advertisements being presented to a user on an in-vehicle display.

A computerized method of determining seat occupancy of a vehicle is presented. The method comprises obtaining an image of a vehicle cabin showing at least one seat of the vehicle, determining objects in the image and assigning objects to the at least one seat, determining probabilities for seat occupancy states of the at least one seat, and determining a seat occupancy state of the at least one seat based on the assigned objects and the probabilities.

A method for identifying a gesture from one of a plurality of dynamic gestures, each dynamic gesture comprising a distinct movement made by a user over a period of time within a field of view of an image acquisition device comprises iteratively: acquiring a current image from said image acquisition device at a given time; and passing at least a portion of the current image through a bidirectionally recurrent multi-layer classifier. A final layer of the multi-layer classifier comprises an output indicating a probability that a gesture from the plurality of dynamic gestures is being made by a user during the time of acquiring the image.