Systems, device, and methods for trajectory association and tracking are provided. A method can include obtaining input data indicative of a respective trajectory for each of one or more first objects for a first time step and input data indicative of a respective trajectory for each of one or more second objects for a second time step subsequent to the first time step. The method can include generating, using a machine-learned model, a temporally-consistent trajectory for at least one of the one or more first objects or the one or more second objects based at least in part on the input data and determining a third predicted trajectory for the at least one of the one or more first objects or the one or more second objects for at least the second time step based at least in part on the temporally-consistent trajectory.

A moving body control apparatus includes a travel control section that controls travel of a moving body based on vicinity information, and a lane change control section that performs a lane change of the moving body from a first lane to a second lane, if the lane change of the moving body from the first lane to the second lane is approved. The travel control section performs first acceleration/deceleration control to accelerate or decelerate the moving body according to a velocity of another moving body travelling in the second lane, if the lane change of the moving body from the first lane to the second lane is denied.

A moving body control apparatus includes a travel control section that controls travel of a moving body based on vicinity information, and a lane change control section that performs a lane change of the moving body from a first lane to a second lane, if the lane change of the moving body from the first lane to the second lane is approved. The travel control section performs first acceleration/deceleration control to accelerate or decelerate the moving body according to a velocity of another moving body travelling in the second lane, if the lane change of the moving body from the first lane to the second lane is denied.

System for automatically recognising anomalous situations along roads travelled by motor-vehicles for intelligent motor-vehicle driving speed control along roads.

The motor-vehicles are configured to transmit data allowing anomalous situations to be recognised along roads travelled by the motor-vehicles.

The system comprises data processing resources configured to:

receive and process data transmitted by the motor-vehicles to recognise anomalous situations along the roads travelled by the motor-vehicles based on a recognition algorithm,

when anomalous situations are recognised along roads travelled by the motor-vehicles, generate associated alert events and compute reference driving speeds along the roads recognised to be affected by anomalous situations, and

transmit data representative of the alert events and of the reference driving speeds along the roads recognised to be affected by anomalous situations.

The motor-vehicles are further configured to:

receive data representative of alert events and reference driving speeds, and

use the received data to implement one or both of the following actions: inform the drivers of motor-vehicles, through automotive user interfaces of motor-vehicles of the anomalous situations recognised along roads travelled by motor-vehicles, and cause current driving speeds of the motor-vehicles to be adjusted to the reference driving speeds along roads recognised to be affected by anomalous situations.

The application disclose an autonomous-driving-based control method performed by a computer device. The method includes: acquiring scene information of a target vehicle; determining a current lane changing scene type of the target vehicle according to the scene information; recognizing, when the current lane changing scene type is a mandatory lane changing scene type, a first lane for completing a navigation travel route, and, when the first lane satisfies a lane changing safety check condition, controlling the target vehicle to perform lane changing operation according to the first lane. The second lane for optimizing the travel time is recognized according to the scene information when the current lane changing scene type is the free lane changing scene type. When the second lane satisfies the lane changing safety check condition, the target vehicle is controlled to perform lane changing operation according to the second lane.

The application disclose an autonomous-driving-based control method performed by a computer device. The method includes: acquiring scene information of a target vehicle; determining a current lane changing scene type of the target vehicle according to the scene information; recognizing, when the current lane changing scene type is a mandatory lane changing scene type, a first lane for completing a navigation travel route, and, when the first lane satisfies a lane changing safety check condition, controlling the target vehicle to perform lane changing operation according to the first lane. The second lane for optimizing the travel time is recognized according to the scene information when the current lane changing scene type is the free lane changing scene type. When the second lane satisfies the lane changing safety check condition, the target vehicle is controlled to perform lane changing operation according to the second lane.

The invention relates to a parking assistance system for an ego vehicle (1), comprising a control device (2) for controlling a parking procedure, in which the ego vehicle (1) is guided to a target position within a parking space (10), the control device (2) can access sensors for environment detection and, on the basis of the sensor data, can determine a parking space (10) by identifying objects (10a, 11, 12, 13) surrounding the parking space (10), wherein the control device (2) is designed to specify a first minimum distance and a second minimum distance of the ego vehicle (1) from surrounding objects (10a, 11, 12, 13), the control device (2) is furthermore designed to specify, on the basis of the first minimum distance, a first parking region (14) and, on the basis of the second minimum distance, a second parking region (15), and the control device (2) determines the target position by specifying said position within the first and/or the second parking region (14, 15).

The invention relates to a parking assistance system for an ego vehicle (1), comprising a control device (2) for controlling a parking procedure, in which the ego vehicle (1) is guided to a target position within a parking space (10), the control device (2) can access sensors for environment detection and, on the basis of the sensor data, can determine a parking space (10) by identifying objects (10a, 11, 12, 13) surrounding the parking space (10), wherein the control device (2) is designed to specify a first minimum distance and a second minimum distance of the ego vehicle (1) from surrounding objects (10a, 11, 12, 13), the control device (2) is furthermore designed to specify, on the basis of the first minimum distance, a first parking region (14) and, on the basis of the second minimum distance, a second parking region (15), and the control device (2) determines the target position by specifying said position within the first and/or the second parking region (14, 15).

An HMI control device, which controls an HMI device mounted on a vehicle. The HMI device presents information to a driver of the vehicle in a recognizable manner. The vehicle is capable of automated driving and travels following a preceding vehicle at a speed equal to or lower than a predetermined speed. The HMI control device is configured to: present attention information for calling attention of the driver when a congestion is determined to be cleared; acquire a behavior of the driver; and end a second task presented on the HMI device at an end timing corresponding to the behavior of the driver acquired after presentation of the attention information.

An HMI control device, which controls an HMI device mounted on a vehicle. The HMI device presents information to a driver of the vehicle in a recognizable manner. The vehicle is capable of automated driving and travels following a preceding vehicle at a speed equal to or lower than a predetermined speed. The HMI control device is configured to: present attention information for calling attention of the driver when a congestion is determined to be cleared; acquire a behavior of the driver; and end a second task presented on the HMI device at an end timing corresponding to the behavior of the driver acquired after presentation of the attention information.