Abstract: An example operation includes one or more of determining one or more objects in a transport that may become airborne and altering a portion of the transport to minimize the one or more objects from becoming airborne during a collision.

Abstract: An example operation includes one or more of receiving a scan of a cabin of a vehicle, wherein the scan includes a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door, determining at least one occupant characteristic based on the scan, including a classification detection and a presence detection of at least one seat inside the vehicle, determining a cabin status based on the at least one occupant characteristic and communicating the cabin status to a mobile device.

Abstract: An example operation includes detecting, by a vehicle, a location of a first potential passenger proximate to a road; determining, by the vehicle, a first road safety level of a pick-up for the first potential passenger; denying, by the vehicle, the pick-up for the first potential passenger when the determined first road safety level is below a threshold; determining, by the vehicle, a second road safety level of a pick-up for a second potential passenger; and picking up, by the vehicle, the second potential passenger, when the second road safety level is above the threshold.

Abstract: An example operation includes one or more of determining one or more objects in a transport that may become airborne and altering a portion of the transport to minimize the one or more objects from becoming airborne during a collision.

Abstract: Provided is a process that includes one or more of receiving data from sensors on a vehicle, where the data is associated with an internal environment of the vehicle and characteristics of an occupant of the vehicle and modifying functionality of the vehicle based on the received data. Modifying functionality includes updating a graphical user interface (GUI) of the vehicle and a GUI of a device associated with the occupant.

Abstract: An example operation includes one or more of determining a level of risk of a collision of a transport, wherein the level of risk is related to an occupant of the transport and an environment of the transport, accumulating an amount of data based on the level of risk, preparing the accumulated data for sending to one or more recipients when the level of risk exceeds a risk threshold, and sending the prepared data to the one or more recipients when the collision occurs.

Abstract: An example operation includes one or more of detecting a movement of an object in a vehicle when the vehicle is in motion, and determining that the object is an inanimate object, based on a vertical and horizontal distance of the detected movement.

Abstract: An example operation includes one or more of detecting a living element in a transport, determining a dangerous condition exists in response to an internal temperature of the transport is outside of a threshold and a negative characteristic is associated with the living element, and positioning the transport to a location to reduce the dangerous condition.

Abstract: An example operation includes one or more of determining a characteristic of an occupant in a transport and a current driving environment of the transport, wherein the characteristic includes a position of the occupant, determining that the current driving environment will lead to a collision of the transport, and based on a predicted result of the collision, sending a predicted state of the occupant based on the position, to an emergency service node.

Abstract: An example operation includes one or more of detecting a living element in a transport, determining a dangerous condition exists in response to an internal temperature of the transport is outside of a threshold and a negative characteristic is associated with the living element, and positioning the transport to a location to reduce the dangerous condition.

Abstract: An example operation includes one or more of determining a movement of an occupant in a vehicle, determining an atypical health condition based on the movement and a position of the occupant in the vehicle, determining if the occupant is breathing, based on an analysis performed by the vehicle, verifying the atypical health condition by the vehicle, based on received data from a device proximate the occupant, and sending a notification to an entity, based on the verification.

Abstract: Systems, methods, and other embodiments described herein relate to sensing ingress of water in a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates an ingress of water into the passenger cabin, generating a response to the ingress of the water.

Abstract: System, methods, and other embodiments described herein relate to adapting vehicle access by detecting a person carrying an object. In one embodiment, a method includes detecting a person near a vehicle for gaining access. The method also includes scanning the person for an object using a radar of the vehicle, wherein information from the radar indicates densities of the person and the object. Upon detecting the object using the densities, the method also includes adapting the access to a compartment of the vehicle.

Abstract: An example operation includes one or more of determining a characteristic of an occupant in a transport and a current driving environment of the transport, wherein the characteristic includes a position of the occupant, determining that the current driving environment will lead to a collision of the transport, and based on a predicted result of the collision, sending a predicted state of the occupant based on the position, to an emergency service node.

Abstract: A system for controlling operation of a vehicle includes a millimeter-wave radar sensor, a processor, and a memory communicably coupled to the processor. The memory stores a sensor control module configured to automatically control operation of the radar sensor to perform at least one radar scan of at least a portion of an interior of the vehicle. The sensor control module is also configured to determine, using information acquired by the at least one radar scan of the vehicle interior, at least one characteristic of a child car seat positioned in the interior. The sensor control module is also configured to compare the at least one determined characteristic of the child car seat with child car seat comparison information and, responsive to the comparison of the at least one determined characteristic with the child car seat comparison information, control an operation of the vehicle.

Abstract: An example operation includes one or more of determining a movement of an occupant in a vehicle, determining an atypical health condition based on the movement and a position of the occupant in the vehicle, determining if the occupant is breathing, based on an analysis performed by the vehicle, verifying the atypical health condition by the vehicle, based on received data from a device proximate the occupant, and sending a notification to an entity, based on the verification.

Abstract: An example operation includes one or more of collecting, by the transport, data from a device associated with an occupant containing an amount of movement of the device and an amount of time elapsed during the movement, and determining an injury level of the occupant based on the data after a collision.

Abstract: An example operation includes one or more of receiving a first health characteristic of an occupant from a first device affixed to a transport, responsive to the first health characteristic being at or outside a threshold, receiving a second health characteristic of the occupant from a second device affixed to the occupant, and sending a notification to other devices that were proximate the second device when the second health characteristic is outside the threshold.

Abstract: An example operation includes one or more of determining a danger level of an object in a vehicle, determining characteristics of the object including a weight, a size, and a location, updating the danger level of the object based on one or more of the characteristics, and sending a notification to a device associated with the updated danger level of the object.