A vehicle includes a front camera, a front radar, a corner radar, a corner LiDAR, and a controller configured to generate a first fusion mode by processing image data and radar data or to generate a second fusion mode by processing radar data and LiDAR data, wherein the controller changes the first fusion mode to the second fusion mode when the controller detects an abnormality of the front camera while performing avoidance control of the vehicle based on the first fusion mode, and performs the avoidance control based on the second fusion mode for a predetermined time period.

A map management system stores map information used by an automated driving vehicle. The automated driving vehicle detects an obstacle based on the map information, or acquires a margin distance when stopping in front of an obstacle based on the map information. When requiring a remote operator's decision about an action with respect to the obstacle, the automated driving vehicle issues a support request that requests the remote operator to give support. The map management system acquires an operator instruction to the automated driving vehicle issued by the remote operator in response to the support request. The map management system estimates a type of the obstacle based on a state of acquisition of the operator instruction or a content of the operator instruction. Then, the map management system updates the map information according to the type of the obstacle.

According to one embodiment, a system receives a captured image perceiving an environment of an autonomous driving vehicle (ADV) from an image capturing device of the ADV capturing a plurality of obstacles near the ADV. The system generates a first tunnel based on a width of a road lane for the ADV, where the first tunnel represents a passable lane for the ADV to travel through. The system generates one or more additional tunnels based on locations of the obstacles, where the one or more additional tunnels modify a width of the passable lane according to a level of invasiveness of the obstacles. The system generates a trajectory of the ADV based on the first and the additional tunnels to control the ADV according to the trajectory to navigate around the obstacles without collision.

A driver assistance device acquires information about vehicle-driving environment ahead of the vehicle to detect an intersection. Upon determining that the vehicle makes a right- or left-hand turn at the intersection, the driver assistance device sets a projected course of the vehicle and recognizes a moving object ahead in a direction in which the vehicle making a right- or left-hand turn is headed. The driver assistance device calculates a movement vector from positional changes of the moving object to calculate a meeting point of a path of the object and the projected course. When an interval between times at which the vehicle and the moving object reach the meeting point is found to fall within a predetermined range, the driver assistance device determines that there is a possibility of interference between the vehicle and the moving object and then causes the vehicle to halt short of the meeting point.

Aspects of the disclosure provide a method of managing maneuvering of an autonomous vehicle in certain situations. For instance, a state of the autonomous vehicle may be identified, for example by one or more processors of a planning system of a vehicle, a state of the autonomous vehicle. Based on the state of the autonomous vehicle, the one or more processors of the forward planning system may determine whether the autonomous vehicle has become stuck. Based on the determination that the autonomous vehicle has become stuck, engaging a maneuver planning system having one or more processors capable of generating trajectories that allow the autonomous vehicle to maneuver in reverse may be engaged. After engaging the maneuver planning system, a new trajectory for the autonomous vehicle to follow may be generated. The autonomous vehicle may be controlled according to the new trajectory.

A device for assisting in the driving of a motor vehicle includes a line detector for detecting the boundary line of a traffic lane, a setup module capable of establishing a virtual lane from the line detected, a monitoring module capable of monitoring the risk of the motor vehicle leaving the virtual lane established. The device also includes a module for acquiring an image representing a relevant object. The setup module includes a first map containing values of a position of a virtual-lane boundary according to a lateral shift of the relevant object in the acquired image.

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.

A system for assisting in aligning a vehicle for hitching with a trailer includes an imaging system, a vehicle control system including at least one vehicle sensor, and a controller. The controller controls the vehicle using the vehicle control system to move the vehicle into an aligned position, where a hitch ball on the vehicle is aligned with the coupler, including monitoring a signal from the vehicle sensor and tracking a position of the coupler relative to the hitch ball in image data. When the signal indicates an unintended stopped vehicle state, the controller determines a distance from the hitch ball to the coupler. If the distance is above a predetermined threshold, the controller controls the vehicle control system to cause the vehicle to move. If the distance is below the predetermined threshold, the controller indicates the unintended stopped vehicle state to a driver of the vehicle.

A display control device comprising: a depression acquisition part acquiring a current amount of depression of an accelerator pedal; a suitable range calculation part calculating, as a suitable depression range, a range of an amount of accelerator depression required for a following distance of a preceding vehicle and an ego vehicle to become a predetermined target following distance, based on the following distance; and a display control part displaying the current amount of depression and the suitable depression range at a display device able to be viewed by a driver.