The invention relates to a method for controlling a vehicle (1), the method comprising—establishing (S1) a plurality of example situations, wherein each example situation is characterized by a plurality of example situation features, including at least a velocity of the vehicle (VS), a velocity change of the vehicle (VCS), and a road inclination (αS), —determining (S2), for each of plurality of the example situations, a example situation cost (CS) dependent on a cost for operating the vehicle in the respective example situation, —subsequently obtaining (S3) topology data, indicative of a topology of a route (RT) to be travelled by the vehicle, —determining (S4-S8, S41), based at least partly on the route topology, and at least a plurality of the example situation costs (CS), a velocity profile (VP) for the vehicle along the route (RT).

A system for avoiding blind spot using accident history information, includes an image sensor configured to provide image information by acquiring a surrounding image of a host vehicle, and a vehicle controller. The vehicle controller is configured to detect, through the image sensor, an adjacent vehicle traveling adjacent to the host vehicle and a license plate of the adjacent vehicle; determine a dangerous level of the blind spot of the adjacent vehicle, based on accident history information of the adjacent vehicle and driver tendency information of a driver of the adjacent vehicle obtained by inquiring about the license plate of the adjacent vehicle, after determining a blind spot range of the adjacent vehicle; and generate a path in which the host vehicle deviates from the blind spot or avoids the blind spot to reduce the dangerous level of the blind spot, based on a traveling situation of the host vehicle.

The present invention relates to a method for having a vehicle (100) follow a desired curvature path (C1), said vehicle (100) comprising at least one differential (10, 20, 30) with a differential lock connected to at least one driven wheel axle (40, 50) of said vehicle (100), said method comprising at least the following steps: —providing (S1) information regarding state of said differential lock, said state being either that said differential lock is activated or unlocked, and when said differential lock is activated: —calculating (S2) a yaw moment, M.sub.diff, of said vehicle (100), caused by said differential lock; and —compensating (S3) for a deviation from said desired curvature path (C1) caused by said yaw moment, M.sub.diff, such that a resulting steering angle is equal to or less than a maximum allowed steering angle of said vehicle (100), whereby said compensation is a feed forward compensation. The invention also relates to a control unit, a vehicle, a computer program and a computer readable medium.

The technology relates to autonomous vehicles having articulating sections such as the trailer of a tractor-trailer. Aspects include approaches for tracking the pose of the trailer, including its orientation relative to the tractor unit. Sensor data is analyzed from one or more onboard sensors to identify and track the pose. The pose information is usable by on-board perception and/or planning systems when driving the vehicle in an autonomous mode. By way of example, on-board sensors such as Lidar sensors are used to detect the real-time pose of the trailer based on Lidar point cloud data. The orientation of the trailer is estimated based on the point cloud data, and the pose is determined according to the orientation and other information about the trailer. Aspects also include determining which side of the trailer the sensor data is coming from. A camera may also detect trailer marking information to supplement the analysis.

An automated drive device that automatically stops a vehicle in a pick-up and drop-off area in which a passenger gets and off the vehicle includes at least one processor and at least one memory that stores a program and information to be read by the at least one processor. The processor is configured to acquire the type of the passenger before the vehicle reaches the pick-up and drop-off area as a first process. The processor is configured to change a behavior for stopping the vehicle in the pick-up and drop-off area in accordance with the type of the passenger as a second process.

An automatic driving vehicle includes a vehicle position estimation device that estimates a vehicle position, a touch panel that is capable of being visually recognized by an operator, and a control device that controls behaviors of the vehicle position estimation device and the touch panel, and the control device displays a behavior state of the vehicle position estimation device by blinking an automatic mode selection button and a semi-automatic mode selection button on the touch panel.

An imaging section 20 images a passenger in a moving body. A boarding state detection section 30 detects a boarding state of the passenger on the basis of a captured image acquired by the imaging section 20. An allowable acceleration setting section 40 sets, for each passenger, individual allowable acceleration on the basis of the boarding state of the passenger detected by the boarding state detection section 30, for example, the lateral spacing between the feet of the passenger, the arrangement angle of the feet with respect to the moving direction of the moving body, and the like. Further, integration is performed on the individual allowable acceleration determined for the respective passengers in the moving body, and the acceleration that is allowable for the moving body is set. The allowable acceleration for the moving body is set according to the boarding state of each passenger, thus preventing the moving body from moving at acceleration at which the passengers may be endangered. This allows the safety of the passengers to be improved.

In a method for predicting future driving conditions for a vehicle (1), sensor data (2) are gathered while the vehicle (1) is traveling on a route. A position of the vehicle (1) is also determined. The gathered data are associated with the determined vehicle position. A map (9) is created depending on the associated data. When the route is traveled again, the map is updated in real time depending on associated data from the repeated traveling. Finally, a prediction of future driving conditions is obtained based on the determined vehicle position and the map (9).

A wellness diagnostic platform installed on a vehicle to identify potential passengers with evident symptoms of a contagious illness is described. The wellness diagnostic platform includes a wellness monitoring unit and a boarding confirmation unit. The wellness monitoring unit includes a camera and/or one or more thermal sensors. The camera may capture physical characteristics of the potential passenger to determine health and the thermal sensors can measure a temperature of the potential passenger prior to boarding the vehicle. The boarding confirmation unit is configured to receive at least a display object identifying a diagnostic result computed by the wellness monitoring unit that the potential passenger is (i) advised to board the vehicle when a temperature of the potential passenger is equal to or below a prescribed temperature threshold or (ii) advised to refrain from boarding the vehicle when the temperature of the potential passenger exceeds prescribed temperature threshold.

In an operation system (1) for a bus (5) including a connection point database which stores identification information of a magnetic marker (10) positioned so as to correspond to a connection point (13) between a dedicated lane (111) having magnetic markers (10) laid thereon and a general lane (112), the connection point (13) is set so as to correspond to the magnetic marker (10) according to identification information stored in a connection point database, thereby allowing flexibility in changing a route to be improved in the operation system which causes a vehicle to operate along a route defined in advance.