Abstract: A vaporizable material for use in an aerosol generating device. The vaporizable material including a proflavour molecule having a flavouring compound bonded to a retaining substrate selected from a group of carbohydrates, glycerides, fatty acids, amino acids or mixtures thereof. The flavouring compound being releasable from the retaining substrate while using the vaporizable material with the aerosol generating device.

Abstract: An embodiment related to a system comprising a processor, a computer vision module, and a control module; wherein the processor is operable to detect a lane reduction in a nearest disappearing lane; detect a neighboring vehicle and a driving action of the neighboring vehicle in the nearest disappearing lane; detect a license plate of the neighboring vehicle; receive a first signal from the neighboring vehicle for a driving mode; detect a point of lane disappearance in the nearest disappearing lane; determine a time interval for the neighboring vehicle to reach to the point of lane disappearance; execute a risk assessment of a collision based on the driving action and then transmit a control command to an actuator system of a host vehicle based on the risk assessment.

Abstract: An embodiment related to a system, wherein the system is operable to: detect an intersection and a target vehicle near the intersection; determine a current location of a host vehicle and the target vehicle; detect a target turn lane; estimate parameters of the target vehicle, wherein the parameters of the target vehicle comprise a vehicle type, a vehicle model, a steering angle, and a turn radius; predict a trajectory of motion of the target vehicle; establish a boundary for an impact zone by the host vehicle; and determine a collision avoidance action for the host vehicle to avoid the impact zone.

Abstract: An embodiment related to a system, wherein the system is operable to determine a road surface condition, wherein the road surface condition is at least one of an ice, wet, and snow; adjust, a safe distance value of the host vehicle based on the road surface condition; detect a vehicle type, a speed, and a visible roof area of a target vehicle; determine an uphill road that the host vehicle is approaching; determine that the target vehicle is slowing down based on a change in speed of the target vehicle in real-time; and determine, a collision avoidance action for the host vehicle to avoid a collision with the target vehicle.

Abstract: Various systems and methods are presented regarding utilizing technology onboard a first vehicle to reduce probability of a second vehicle being further involved in a traffic accident occurring between the first vehicle and a third vehicle. The first vehicle can transmit a notification to the second vehicle, wherein the notification can provide details regarding the collision, collision location, vehicles involved, etc. The second vehicle, operating autonomously, can self-adjust operation to avoid being involved in the accident, e.g., the first vehicle and third vehicle are in a rear-end collision, which the second vehicle can navigate to avoid. The second vehicle can, for example, self-determine whether a safe braking distance can be achieved, navigation into an adjacent lane, warn other vehicles of the collision. Accordingly, autonomous vehicles can reduce probability of pile-up collisions occurring.

Abstract: In an aspect, a method is described. The method comprises: determining, by a control module, a traffic condition surrounding a vehicle in real-time; detecting, by the control module, movement of the vehicle towards a traffic light and an intersection area; determining, by the control module, a time taken for a traffic light cycle; determining, by the control module, an average distance travelled by the vehicle during the traffic light cycle; and computing, by the control module, a probability of the vehicle crossing the intersection area prior to a red signal of the traffic light cycle, based on the average distance travelled by the vehicle, intersection area information, and a length of the vehicle. The vehicle may be an autonomous vehicle (self-driven vehicle), a semi-autonomous vehicle, or a manual driven vehicle.

Abstract: The disclosure relates to determining a lane invasion risk associated with at least one out of at least two vehicles traveling behind one another on a lane adjacent to an ego-lane on which an ego-vehicle is traveling. A corresponding process can comprise receiving or determining a distance information indicative of a distance between the at least two vehicles, a speed information indicative of a speed of each of the at least two vehicles, and a safe braking distance information indicative of a safe braking distance of at least a rearward one of the at least two vehicles, determining a collision risk between the at least two vehicles based on the safe braking distance information, the distance information and the speed information, and determining a lane invasion risk for at least one of the at least two vehicles if the collision risk has been determined.

Abstract: The disclosure relates detecting a deposition comprising snow and/or ice on a surrounding vehicle. A corresponding method can comprise obtaining, by an ego vehicle comprising a processor, representation data representing at least part of the surrounding vehicle in a surrounding of the ego vehicle, processing, by the ego vehicle, the representation data to identify the surrounding vehicle and a possible deposition as separate objects of the representation data, resulting in processed representation data, and detecting, by the ego vehicle, a deposition on the surrounding vehicle based on the processed representation data, resulting in a detected deposition.

Abstract: An overtake decision (e.g., for a vehicle) based on behavior of another vehicle (e.g., using a computerized tool) is enabled. For example, a method can comprise: based upon a condition applicable to a second vehicle, other than a first vehicle, determining, by a system comprising a processor, a predicted movement of the second vehicle, and based on the predicted movement being determined to satisfy a defined overtake condition, initiating, by the system, an overtake action, applicable to the first vehicle, to overtake the second vehicle.

Abstract: Prevention of pedestrian accidents at pedestrian crossings (e.g., using a computerized tool) is enabled. For example, a method can comprising: determining, by a system comprising a processor and based on a first location of a first vehicle, a second location of a second vehicle, and a speed differential between the first vehicle and the second vehicle, whether a first collision between the first vehicle and the second vehicle is threshold likely to occur, determining, by the system and based on a third location of a pedestrian and the first collision being determined to be threshold likely to occur, whether a second collision between the first vehicle and the pedestrian is threshold likely to occur, and based on the second collision being determined to be threshold likely to occur, facilitating, by the system, an impact mitigation action determined to mitigate the second collision.

Abstract: Various systems and methods are presented regarding utilizing technology onboard a first vehicle to mitigate road traffic accidents involving a second vehicle where the driver is affected by glare. Glare can be due to sunlight or headlight beams incident upon a driver's face. Glare can impede a driver's vision and ability to resolve a road or objects ahead. The first vehicle can detect the driver of the second vehicle may be impeded by glare, whereby, in response thereto, the first vehicle can (i) autonomously adjust operation of the first vehicle to reduce likelihood of involvement in accident with the second vehicle, (ii) can communicate with the second vehicle to beneficially affect operation of the second vehicle, and/or (iii) alert other entities using the road to presence of the first vehicle or second vehicle.

Abstract: Various systems and methods are presented regarding utilizing technology onboard a vehicle to minimize road traffic accidents between cyclists and vehicles. A vehicle can be operating in any of an autonomous, partially autonomous, or non-autonomous manner. By utilizing onboard technology/artificial intelligence, the vehicle can detect a cyclist navigating a street proximate to the vehicle, and further determine, if a door of the vehicle was opened, whether a car dooring incident would result involving the cyclist. In response to a determination that a car dooring incident is likely, an onboard system can prevent an occupant from opening a door likely to cause the dooring incident. Accordingly, the vehicle can preemptively adjust available operations to prevent a car dooring incident.

Abstract: Various systems and methods are presented to control access of a vehicle, wherein access of the vehicle by a first user requires approval by a second user. In the event of access is denied, but the first user operates the first vehicle, the first vehicle can be configured to generate an alarm signal. A second vehicle can be configured to detect the alarm signal and capture digital images of the first vehicle. The digital images can be reviewed to determine at least one of a location, a route, or an operator of the first vehicle. In the event of access to the first vehicle is subsequently granted, transmission of the alarm signal can be terminated, thereby ceasing further generation of images of the first vehicle (e.g., by the second vehicle). The first vehicle and the second vehicle can be operating in any of an autonomous, partially autonomous, or non-autonomous manner.

Abstract: Various systems and methods are presented regarding utilizing technology onboard a vehicle to minimize road traffic accidents between cyclists and vehicles. A first vehicle can be operating in any of an autonomous, partially autonomous, or non-autonomous manner. By utilizing onboard technology/artificial intelligence, the first vehicle can detect both a cyclist navigating a street and a parked vehicle that is proximate enough to the cyclist for the possibility of dooring event to occur if a door of the parked vehicle was opened into the path of the cyclist. The first vehicle can determine a respective velocity of the cyclist and a location of the door on the parked vehicle. Accordingly, the vehicle can preemptively adjust its operation to prevent being involved in the effects of the dooring incident based on a determined probability of a dooring event occurring/likely to occur, e.g., situation is safe, moderately safe, or dangerous.

Abstract: Various systems and methods are presented regarding utilizing technology onboard a first vehicle to prevent accidents within T-intersections between one or more other vehicles. Techniques are described for tracking vehicles and drivers to prevent accidents from occurring within T-intersections. In an example embodiment, a system, comprises a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise: a vehicle position component that can determine vehicle position data of a second vehicle and a third vehicle proximate a T-intersection; a sensor component that can capture facial profile data of a driver of the second vehicle; and a collision prediction component that can determine whether a collision will occur in the T-intersection between the second vehicle and the third vehicle.

Abstract: Various systems and methods are presented regarding utilizing technology onboard an vehicle to minimize road traffic accidents between pedestrians and cars. The vehicle can be operating in any of an autonomous, partially autonomous, or non-autonomous manner. By utilizing on-board technology, a vehicle can detect both a pedestrian crossing a road as well as other vehicles driving on the road. The vehicle can determine a respective velocity of both the pedestrian and the other vehicle(s) in conjunction with their respective trajectories. Based thereon, the vehicle can determine whether the other vehicle is likely to hit the pedestrian. In the event of such an accident potentially occurring, the vehicle can attempt to warn the pedestrian and/or the other driver.

Abstract: A nicotine oral delivery composition includes a source of nicotine and a proflavour compound, wherein the proflavour compound includes a flavour component and a support component joined by an enzymatically cleavable bond, wherein the nicotine oral delivery compound is in solid form, and wherein the enzymatically cleavable bond is not a glycosidic bond.

Abstract: Various systems and methods are presented regarding utilizing technology onboard an autonomous vehicle (AV) to mitigate the effects of communication signals being deleteriously affected/lost when the AV is navigating a road tunnel (e.g., where the AV is operating partially autonomously or autonomously). Prior to entering the tunnel, the AV can receive information regarding the length of the tunnel, etc., which the AV can then utilize to self-navigate the tunnel. To improve communications while in the tunnel, a second vehicle can act as a communication relay between the AV and an external navigation system (e.g., GNSS). The AV can also request an occupant drive the vehicle through the tunnel. In the event of an accident, the AV can transmit status reports to external entities such as police, traffic department, and suchlike.

Abstract: Various systems and methods are presented regarding assisting an autonomous vehicle (AV) navigating a road when the road includes one or more road conditions that may be deleterious to the mechanical structure of the AV, operation of the AV, and suchlike. The deleterious road conditions can include a pothole, road debris, a speed bump, etc. Operation of a vehicle driving ahead of the AV can be monitored. The other vehicle may cause a pothole to be occluded from view by sensors onboard the AV, hence by monitoring operation of the other vehicle, e.g., maneuvering around/driving through a pothole, the AV can assess a size/location of the pothole and determine an action such as maneuver, slow down, change lanes, etc. The pothole location can be reported by the AV to enable other drivers and AVs to be aware of the pothole.

Abstract: A method for detecting that a driver of a vehicle is using a handheld electronic device can comprise capturing or receiving at least one image of the vehicle showing at least a partial frontal view of the vehicle including the driver, determining a face orientation of the driver based on the at least one captured image, determining whether at least one pupil of the driver is shown in the at least one captured image, and inferring that the driver is using the handheld electronic device if the face orientation is downwards and no pupil of the driver is shown in the at least one captured image, or if the face orientation is straight ahead and no pupil of the driver is shown in the at least one captured image.