Systems and methods for generating a trajectory of a vehicle are disclosed. The methods include generating a spatial domain speed profile for a path represented as a sequence of poses of a vehicle between a first point and a second point. Generation of the spatial domain speed profile uses a longitudinal problem while excluding a derate interval on the path when speed of the vehicle cannot exceed a threshold. The methods further include generating a derate profile using the spatial domain speed profile and the derate interval, and transforming the derate interval to a temporal derate interval. The temporal derate interval may include time steps at which the speed of the vehicle cannot exceed the threshold while traversing the path, and may be used as an input to the longitudinal problem for generating a trajectory of the vehicle for navigating between the first point and the second point.

A vehicle may include a steering angle sensor; and a controller configured to be electrically connected to the steering angle sensor. The controller may be configured to identify a change amount in a steering angular speed of the vehicle according to an output of the steering angle sensor, and to identify careless driving of a driver of the vehicle according to a first maximum change amount in which the steering angular speed changes in a first direction and a second maximum change amount in which the steering angular speed changes in a second direction.

The disclosure generally pertains to systems and methods to protect a side-view mirror of a vehicle. An example method executed by a processor includes obtaining a first dimensional parameter associated with a body portion of a vehicle (for example, a width or a length of the vehicle) and a second dimensional parameter associated with a side-view mirror attached to the vehicle (for example, a protrusion distance of the side-view mirror). A turning path characteristic associated with a movement of the vehicle may then be determined, followed by determining a probability of a collision between the side-view mirror and an object located outside the vehicle. Determining the probability may be based on the first dimensional parameter, the second dimensional parameter, and the turning path characteristic. If the probability of the collision exceeds a threshold value, an alert may be issued, or a preventive maneuver executed in order to prevent the collision.

An obstacle is detected based on sensor data obtained from a plurality of sensors of the ADV. Multiple trajectories of the obstacle are predicted with corresponding probabilities including a first predicted trajectory of the obstacle with a highest probability and a second predicted trajectory of the obstacle with a second highest probability. A cautionary trajectory of the ADV is planned based on at least one of a difference between the highest probability and the second highest probability or a consequence of the second trajectory. The ADV is to drive with a speed lower than a speed limit and prepare to stop in the cautionary trajectory. The ADV is controlled to drive according to the cautionary trajectory.

The techniques and systems herein enable collision indication based on yaw rate and lateral velocity thresholds. Specifically, an in-path band is determined for a predicted path of a host vehicle. Responsive to determining that a target is within the in-path band, a lateral movement for the host vehicle at a time is determined based on whether a yaw rate of the host vehicle meets a yaw rate threshold. A lateral movement for the target at the time is also determined based on whether a lateral velocity of the target meets a lateral velocity threshold. A collision indication is generated responsive to determining, based on the lateral movements, that the host vehicle and the target are likely to be within the in-path band at the time. In this way, the collision indication more accurately reflects an imminent collision, thereby increasing safety while also mitigating false-positive events.

A system and method for determining object-wise situational awareness that includes receiving data associated with a driving scene of a vehicle, an eye gaze of a driver of the vehicle, and alerts that are provided to the driver of the vehicle. The system and method also includes analyzing the data and extracting features associated with dynamic objects located within the driving scene, the eye gaze of the driver of the vehicle, and the alerts provided to the driver of the vehicle. The system and method additionally includes determining a level of situational awareness of the driver with respect to the each of the dynamic objects based on the features. The system and method further includes communicating control signals to electronically control at least one component of the vehicle based on the situational awareness of the driver.

A method is described and includes subsequent to an autonomous vehicle becoming immobilized, initiating a local assistance request; subsequent to the initiating, receiving local assistance input from a passenger of the autonomous vehicle; and using the local assistance input to determine an action to be taken by the autonomous vehicle to mobilize the autonomous vehicle.

A vehicle may include a steering angle sensor; and a controller configured to be electrically connected to the steering angle sensor. The controller may be configured to identify a change amount in a steering angular speed of the vehicle according to an output of the steering angle sensor, and to identify careless driving of a driver of the vehicle according to a first maximum change amount in which the steering angular speed changes in a first direction and a second maximum change amount in which the steering angular speed changes in a second direction.

A vehicle control system and method for operating a host vehicle based on geographic location. The system includes a distance sensor, a location sensor, a user interface, and a controller including an electronic processor and a memory. The controller is communicatively coupled to the distance sensor, the location sensor, the speed control, and the user interface, and is configured to receive a distance signal from the distance sensor indicative of a distance between the host vehicle and another vehicle. The controller receives a location signal from the location sensor indicative of a location of the host vehicle and a control signal from the user interface indicative of a desired mode of operation of the vehicle control system. The controller performs a driver assistance function associated with the desired mode of operation and adjusts a tolerance of the driver assistance function based on the location of the host vehicle.

The invention enables assessment and monitoring of attentiveness of a driver of a vehicle. The invention provides systems, methods and computer program products that determine a driver specific baseline degree of eye openness for a vehicle driver, and thereafter monitor and determine driver attentiveness or alertness based on the determined driver specific baseline degree of eye openness.