Autonomous vehicle operation with explicit occlusion reasoning may include traversing, by a vehicle, a vehicle transporation network. Traversing the vehicle transportation network can include receiving, from a sensor of the vehicle, sensor data for a portion of a vehicle operational environment, determining, using the sensor data, a visibility grid comprising coordinates forming an unobserved region within a defined distance from the vehicle, computing a probability of a presence of an external object within the unobserved region by comparing the visibility grid to a map (e.g., a high-definition map), and traversing a portion of the vehicle transportation network using the probability. An apparatus and a vehicle are also described.

Systems and methods for situational behavior of an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes at least one perception sensor configured to generate perception data indicative of at least one other vehicle on a roadway, a non-transitory computer readable medium, and a processor. The processor is configured to determine that the other vehicle is violating one or more rules of the roadway based on the perception data, tag the other vehicle as a non-compliant driver, and modify control of the autonomous vehicle in response to tagging the other vehicle as a non-compliant driver.

Disclosed are an apparatus and method for preventing a vehicle collision. The apparatus includes a communication unit wirelessly communicating with a surrounding vehicle, a sensing unit detecting the surrounding vehicle and a lane, a traveling control module configured to control steering or braking of an ego vehicle, and a controller configured to determine whether the ego vehicle can perform steering avoidance driving toward a neighboring lane, through the sensing unit, based on information on a driving mode of a vehicle ahead received through the communication unit, if it is checked through the communication unit that a vehicle ahead of the vehicle ahead is in a stop state and to control the ego vehicle to perform the steering avoidance driving toward the neighboring lane or to urgently brake through the traveling control module, based on a result of the determination.

A method predicts the trajectory of an ego vehicle travelling in a main lane. A lane change by the ego vehicle from the main lane to an adjacent lane is determined according to an estimate of the dynamic behavior of a group of vehicles travelling in the adjacent lane. The group of vehicles includes at least one main vehicle which is located near the ego vehicle and a secondary vehicle which is located behind the ego vehicle.

A vehicle control device recognizes a second self-position, which is obtained by correcting a first self-position, and an orientation of a vehicle on a road, on which the vehicle is traveling, based on a situation around the vehicle, the first self-position, and map information, determines a steering control mode and a speed control mode of the vehicle based on the second self-position and the orientation of the vehicle, and performs automated driving by controlling the vehicle based on the determined control modes. When the vehicle is scheduled to advance from a first lane to a second lane and it is not possible to recognize a target associated with a road indicating an end point of a merging section, a determiner determines a steering angle control mode for searching for the target based on the second self-position and the orientation of the vehicle.

A vehicle control method includes recognizing a periphery of a vehicle, a first vehicle and a second vehicle present in the periphery, setting a target area between the first vehicle and the second vehicle based on a reference position of a first type of the first vehicle present in a lane of a lane change destination and a reference position of the first type of the second vehicle behind the first vehicle and present in the lane, and controlling the vehicle to enter the target area set based on a reference position of a second type of the first vehicle and a reference position of the second type of the second vehicle.

A travel controller detects, from an image representing the face of a driver of a vehicle, an act of the driver checking surroundings of the vehicle, records a time at which the act of checking is detected, and suggests to the driver a lane change for the vehicle to change a travel lane to an adjoining lane. In the case that the act of checking is detected in a precheck period before a suggestion time at which the lane change is suggested, the travel controller makes the vehicle execute the lane change regardless of whether the act of checking is detected in a post-suggestion check period after the suggestion time of the lane change.

An autonomous driving system acquires information concerning a vehicle density in an adjacent lane that is adjacent to a lane on which an own vehicle is traveling, when the own vehicle travels on a road having a plurality of lanes. The autonomous driving system selects the adjacent lane as an own vehicle travel lane, when the vehicle density in the adjacent lane that is calculated from the acquired information is lower than a threshold density that is determined in accordance with relations between the own vehicle and surrounding vehicles. The autonomous driving system performs lane change to the adjacent lane autonomously, or propose lane change to the adjacent lane to a driver, when the adjacent lane is selected as the own vehicle travel lane.

A vehicle control device controls travel of a vehicle by performing state transition for a plurality of control states having different driving assistance levels based on vehicle surrounding information. The vehicle control device comprises: an acquisition unit configured to acquire the vehicle surrounding information; and a control unit configured to control the state transition and braking operation of the vehicle based on the information acquired by the acquisition unit, wherein, based on the information, the control unit is configured to transition from a first control state set for travel of the vehicle to a second control state with a lower driving assistance level in a case where it is determined that another vehicle is crossing a lane line in front of the vehicle in a lane where the vehicle is traveling.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. Example embodiments disclosed herein provide enhanced high-precision operation of an AV in low-speed environments, such as a toll booth facility or heavy traffic. One example method disclosed herein includes a control computer identifying a starting point of the toll booth facility on the roadway and a plurality of toll lanes associated with the toll booth facility; selecting a particular toll lane; determining a trajectory for the AV that extends through the particular toll lane; and in response to the autonomous vehicle arriving at the starting point for the toll booth facility, transmitting, over a subsystem interface to one or more drive subsystems of the AV, instructions configured to cause the drive subsystems to operate together to cause the AV to travel according to the trajectory.