A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

Methods and systems for autonomous and semi-autonomous vehicle routing are disclosed. Roadway suitability for autonomous operation is scored to facilitate use in route determination. Maps of roadways suitable for various levels of autonomous operation may be generated. Such map data may be used by autonomous vehicles or other computer devices in determining routes based upon criteria for vehicle trips. Such routes may be automatically updated based upon changes in road conditions, vehicle conditions, operator conditions, or environmental conditions. Emergency routing using such map data is described, such as automatic routing and travel when a passenger is experiencing a medical emergency.

Methods and systems for autonomous and semi-autonomous vehicle routing are disclosed. Roadway suitability for autonomous operation is scored to facilitate use in route determination. Maps of roadways suitable for various levels of autonomous operation may be generated. Such map data may be used by autonomous vehicles or other computer devices in determining routes based upon criteria for vehicle trips. Such routes may be automatically updated based upon changes in road conditions, vehicle conditions, operator conditions, or environmental conditions. Emergency routing using such map data is described, such as automatic routing and travel when a passenger is experiencing a medical emergency.

Methods and systems for repairing a malfunctioning autonomous vehicle (AV) or semi-autonomous vehicle (SAV) are described herein. The AV or SAV may determine that an autonomous feature or sensor is malfunctioning and the extent of the damage to the autonomous feature or sensor. Then the AV or SAV may compare the extent of the damage to a predetermined threshold to determine whether the AV or SAV remains serviceable or otherwise road worthy. If the AV or SAV remains serviceable, the AV or SAV may locate the nearest repair facility having the necessary electronic components in stock and technical expertise for repairing the AV or SAV. Then the AV or SAV may request the nearest repair facility to send an autonomous repair vehicle to the current location of the AV or SAV to facilitate repair.

Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image of an environment of the host vehicle; detect, based on analysis of the image, a pedestrian crosswalk in the image; detect a presence of a traffic light and determine whether the traffic light is relevant to the host vehicle and the pedestrian crosswalk; determine a state of the traffic light; determine, when a pedestrian appears in the image, a proximity of the pedestrian relative to the pedestrian crosswalk; determine a planned navigational action for navigating the host vehicle relative to the pedestrian crosswalk based on a driving policy, the state of the traffic light and the proximity of the pedestrian relative to the pedestrian crosswalk; and cause one or more actuator systems of the host vehicle to implement the planned navigational action.

Methods and systems for collision avoidance between vulnerable road users (VRUs) and vehicles are provided. In one aspect, a method and a system for collision avoidance between vulnerable road users (VRUs) and vehicles based on emitted signal relates to VRUs and vehicles configured to emit and receive a proximity signal pertaining to road usage safety before accidents happen. The method and the system for pedestrian-to-vehicle (P2V) collision avoidance is based on emitted signal at the edge. The usefulness of the method and the system is for providing danger notifications pertaining to the field of road safety, and pertaining to collision avoidance, before accidents happen. The method and the system further relate to precautions collision avoidance notifications using past, current and predicted trajectories of VRUs and vehicles, based on emitted signal at the edge.

Techniques are discussed for predicting locations of an object based on attributes of the object and/or attributes of other object(s) proximate to the object. The techniques can predict locations of a pedestrian proximate to a crosswalk as they traverse or prepare to traverse through the crosswalk. The techniques can predict locations of objects as the object traverses an environment. Attributes can comprise information about an object, such as a position, velocity, acceleration, classification, heading, relative distances to regions or other objects, bounding box, etc. Attributes can be determined for an object over time such that, when a series of attributes are input into a prediction component (e.g., a machine learned model), the prediction component can output, for example, predicted locations of the object at times in the future. A vehicle, such as an autonomous vehicle, can be controlled to traverse an environment based on the predicted locations.

The vehicle control system includes a first controller configured to generate a target trajectory for the automated driving, and a second controller configured to execute vehicle travel control such that the vehicle follows the target trajectory. During the automated driving, the second controller controls a travel control amount which is a control amount of the vehicle travel control, acquire driving environment information, and execute preventive safety control for intervening in the travel control amount based on the driving environment information. The first controller includes a memory device in which information of an intervention suppression area is stored. When the vehicle travels in the intervention suppression area during the automated driving, the first controller outputs a suppression instruction for the preventive safety control to the second controller. And the second controller suppresses intervention of the travel control amount by the preventive safety control when the suppression instruction is received.

Methods and systems for collision avoidance between vulnerable road users (VRUs) and vehicles are provided. In one aspect, a method and a system for collision avoidance between vulnerable road users (VRUs) and vehicles based on emitted signal relates to VRUs and vehicles configured to emit and receive a proximity signal pertaining to road usage safety before accidents happen. The method and the system for pedestrian-to-vehicle (P2V) collision avoidance is based on emitted signal at the edge. The usefulness of the method and the system is for providing danger notifications pertaining to the field of road safety, and pertaining to collision avoidance, before accidents happen. The method and the system further relate to precautious collision avoidance notifications using past, current and predicted trajectories of VRUs and vehicles, based on emitted signal at the edge.

The invention relates to a method for stopping a self-driving vehicle (10), starting with determining an approach of the vehicle (10) to a specified stopping point (83). In addition, at least one moving object (70) is detected within the environment of the vehicle. A projected trajectory (84) of the vehicle (10) and a projected trajectory (85) of the object (70) at a first point in time t.sub.1 are determined. Based on the projected trajectory (84) of the vehicle (10), a second point in time t.sub.2 is then determined, at which the vehicle (10) arrives at the specified stopping point (83). Based on the position and speed of the object (70) at the second point in time t.sub.2 determined on the basis of the projected trajectory (85) of the object (70), a collision probability between the object (70) and a door (15) or a passenger of the vehicle (10) at the specified stopping point (83) at the second point in time t.sub.2 is determined. Lastly, a third point in time t.sub.3 is determined for opening at least one door (15) of the vehicle (10), in order to minimize the determined collision probability. The invention also relates to a self-driving vehicle for executing the method according to the invention.