A distributed method and system for collision avoidance between vulnerable road users (VRUs) and vehicles is provided. The method and system provide for pedestrian-to-vehicle (P2V) collision avoidance, in the field of intelligent transportation technology and data analytics with an artificial intelligence (AI) algorithm distributed among edge and cloud systems. The distribution of data analytics is weighted between edge and cloud systems: the cloud system referring to a Neural Network computational algorithm embedded in a distant server, and the edge system referring to a user equipment (UE) mobile terminal having a P2V collision avoidance applicative algorithm. The described technology can provide P2V danger notifications relating to the field of road safety, and pertaining to collision avoidance, before accidents happen. The described technology relates to precautions collision avoidance notifications using past, current, and predicted trajectories of VRUs and vehicles, based on an AI algorithm distributed among edge and cloud systems.

A method for generating an actuation signal for a driver assistance system and/or a system for the at least partially automated control of a vehicle. In the method, suggestions are made available for trajectories to be traveled by the vehicle and/or for other actions to be triggered that affect the driving dynamics of the vehicle. The suggestions are evaluated by a cost function, this cost function including a weighted sum of multiple cost terms, the weights being dynamically adapted. Utilizing the evaluations ascertained using the cost function, at least one trajectory or action is selected from among the suggestions. At least one actuation signal is generated that when conveyed to the driver assistance system or the system for the at least partially automatic control of the vehicle, induces the respective system to travel the selected trajectory with the vehicle or to trigger the suggested action.

A planned trajectory is analyzed by an L4 emergency braking module, before the trajectory is navigated by the autonomous driving vehicle (ADV). An L4 emergency braking signal is generated in response to an autonomous driving vehicle (ADV) determining that any portion of a planned trajectory of the ADV has a deceleration that is less than −2 m/sec.sup.2 and a time to collision with the ADV, by a vehicle following the ADV at a speed Z and a distance Y<100 m, during a period of 1 to 8 seconds after time 0 of the planned trajectory, if

[00001]$\frac{T_X+Y}{Z}\le X$

for any time Xϵ{1 second . . . 8 seconds} after time 0, wherein T.sub.X is the location of the ADV in the trajectory at time X. Optionally, a sharp braking command can be issued by the L4 emergency braking module in response to activating the emergency braking signal.

A profile is automatically generated for an occupant of a vehicle. In one approach, data is collected from an interior of a vehicle to determine whether an occupant is present. If an occupant is present, a local profile is automatically generated. The local profile is sent to a remote computing device. The remote computing device links the local profile to a remote profile stored by the remote computing device. Configuration data is generated by the remote computing device based on linking the local and remote profiles. The configuration data is sent to the vehicle and used by the vehicle to control the operation of one or more components of the vehicle.

The present disclosure relates to a method and system for communication between a vulnerable road user and an autonomous vehicle using augmented reality to highlight information to the vulnerable road user regarding potential interactions between the autonomous vehicle and the vulnerable road user.

A method, system and non-transitory computer readable medium which monitor a road user in order to move the external position of the vehicle intent notification (eHMI) to another external position that can be seen by the road user based on the gaze direction of the road user. In some aspects, the eHMI notification displays the vehicle intent for a single autonomous vehicle. In another aspect, a group eHMI notification displays the trajectories for a plurality of autonomous and non-autonomous vehicles. Based on the gaze direction of the road user, the eHMI notification can be displayed on a single external position or on multiple external positions. Different eHMI notifications can be displayed at different external positions on the autonomous vehicle to provide information to more than one road user.

A process for validating a public safety agency command issued to a vehicle. In operation, a public safety agency controller receives a public safety agency command validation inquiry from a vehicle communication device. The inquiry indicates that the vehicle communication device has detected a public safety agency command issued to the vehicle and includes a first vehicle identifier and a first vehicle location. The controller receives a public safety agency command information including a second vehicle identifier and a second vehicle location from a public safety agency communication device. The validity of the public safety agency command is determined based on comparing the first vehicle identifier with the second vehicle identifier and comparing the first vehicle location with the second vehicle location. The controller then transmits a notification to the vehicle communication device identifying the validity of the public safety agency command.

An example operation includes one or more of traveling, by a first transport, in a first lane, determining, by the first transport, that a speed of a second transport is greater than a speed of the first transport when the second transport is behind the first transport, determining, by the first transport, that no other transports are ahead of the first transport by a first distance in the first lane and beside the first transport by a second distance in a second lane, maneuvering, by the first transport, to the second lane allowing the second transport to pass the first transport in the first lane, and maneuvering, by the first transport, to the first lane when there are no other transports traveling in the first lane at a third distance behind the first transport and at or near the speed of the second transport.

Embodiments is disclosed to detect a locked heading direction of a pedestrian and to predict a path for the pedestrian using the locked heading direction. According to one embodiment, a system perceives an environment of an autonomous driving vehicle (ADV) using one or more image capturing devices. The system detects a pedestrian in the perceived environment. The system determines a facing direction of the pedestrian relative to the ADV as one of left/right side, front, or back. If the facing direction of the pedestrian is determined to be front or back facing, the system determines a lane nearest to the pedestrian. The system projects the pedestrian onto the nearest lane to determine a lane direction at the projection. The system determines a heading direction for the pedestrian locking to the lane direction of the nearest lane based on a predetermined condition.

A method, system and non-transitory computer readable medium for multi-stage communication between an autonomous vehicle and a road user. The autonomous vehicle uses vehicle external cameras, a LiDAR sensors and radar sensors to image the surrounding environment. Image processing circuitry is used to develop a view of the surrounding environment from the sensed images and the view is combined with stored map data. Road users, which may include pedestrians, bicyclists, motorcyclists and non-autonomous vehicles are identified on the view and it is determined whether the movement of the road user will intersect the trajectory of the autonomous vehicle. The autonomous vehicle performs a vehicle behavior modification as a first stage signal to alert the road user of its intent. If the road user does not react to the first stage signal, the autonomous vehicle activates additional external lighting as a second stage signal to alert the road user.