Techniques for determining to modify a trajectory based on an object are discussed herein. A vehicle can determine a drivable area of an environment, capture sensor data representing an object in the environment, and perform a spot check to determine whether or not to modify a trajectory. Such a spot check may include processing to incorporate an actual or predicted extent of the object into the drivable area to modify the drivable area. A distance between a reference trajectory and the object can be determined at discrete points along the reference trajectory, and based on a cost, distance, or intersection associated with the trajectory and the modified area, the vehicle can modify its trajectory. One trajectory modification includes following, which may include varying a longitudinal control of the vehicle, for example, to maintain a relative distance and velocity between the vehicle and the object.

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.

Aspects of the disclosure relate to detecting and responding to malfunctioning traffic signals for a vehicle having an autonomous driving mode. For instance, information identifying a detected state of a traffic signal for an intersection. An anomaly for the traffic signal may be detected based on the detected state and prestored information about expected states of the traffic signal. The vehicle may be controlled in the autonomous driving mode based on the detected anomaly.

A trajectory setting device that sets a trajectory of a host vehicle includes a first path generation unit configured to generate a first path by assuming all obstacles around the host vehicle to be stationary obstacles, a second path generation unit configured to generate a second path when the moving obstacle is assumed to move independently, a third path generation unit configured to generate a third path when the moving obstacle is assumed to move while interacting with at least one of the other obstacles or the host vehicle, a reliability calculation unit configured to calculate reliability of the second path and reliability of the third path, and a trajectory setting unit configured to set the trajectory for traveling from the first path, the second path, and the third path based on the reliability of the second path and the reliability of the third path.

A working machine includes a braking assembly and a throttle assembly. A controller is operatively connected to the braking assembly and the throttle assembly. A proximity sensor is operatively connected to the controller and is adapted to emit radiation away from the rear of the working machine, and to receive reflected radiation indicating the presence of a person or object within a danger zone adjacent to the rear of the working machine and within a warning zone that extends beyond the danger zone. The proximity sensor is adapted to send a signal to the controller when it detects a person or object in the danger zone to cause the braking assembly to brake the working machine, and to send a signal to the controller when it detects a person or object in the warning zone to cause the throttle assembly to reduce the speed of the working machine.

An autonomous vehicle may include a stuck condition detection component and a communications component. The stuck-detection component may be configured to detect a condition in which the autonomous vehicle is impeded from navigating according to a first trajectory. The communications component may send an assistance signal to an assistance center and receive a response to the assistance signal. The assistance signal may include sensor information from the autonomous vehicle. The assistance center may include a communications component and a trajectory specification component. The communications component may receive the assistance signal and send a corresponding response. The trajectory specification component may specify a second trajectory for the autonomous vehicle and generate the corresponding response that includes a representation of the second trajectory. The second trajectory may be based on the first trajectory and may ignore an object that obstructs the first trajectory.

An apparatus and method for forward collision avoidance through sensor angle adjustment includes a position provider configured to provide information on a position of a host vehicle, a sensor configured to sense a presence of an object in vicinity of the host vehicle, and a vehicle controller configured to detect a dangerous area in a driving caution area, increase a sensitivity of the sensor toward the dangerous area, in response to detecting the dangerous area, and increase a forward collision avoidance performance of the host vehicle, in response to determining that the host vehicle enters the driving caution area through the position provider.

A system of the present disclosure includes a coarse observation sensor configured to observe a range around a vehicle, high-accuracy observation object identification means configured to identify a high-accuracy observation object that is an object detected by the coarse observation sensor in the observation range and is an object to be observed at a higher resolution, object presence area prediction means configured to predict a range of an object future presence area where the high-accuracy observation object may be present after the identification, a fine observation sensor configured to observe the range of the object future presence area at the higher resolution, and object information output means configured to output information on the high-accuracy observation object observed by the fine observation sensor.

A method and apparatus are provided for determining one or more behavior models used by an autonomous vehicle to predict the behavior of detected objects. The autonomous vehicle may collect and record object behavior using one or more sensors. The autonomous vehicle may then communicate the recorded object behavior to a server operative to determine the behavior models. The server may determine the behavior models according to a given object classification, actions of interest performed by the object, and the object's perceived surroundings.