Techniques for detecting an object in an environment and determining a probability that the object is a cloud of particulate matter. The cloud of particulate matter may include steam (e.g., emitted from a man-hole cover, a dryer exhaust port, etc.), exhaust from a vehicle (e.g., car, truck, motorcycle, etc.), environmental gases (e.g., resulting from sublimation, fog, evaporation, etc.), a cloud of dust, water splashing, blowing leaves, or other types of particulate matter that may be located in the environment of the vehicle and may not impact driving behavior (e.g., an autonomous vehicle may safely pass through the particulate matter without impact to the platform). A vehicle computing system may determine the probability that the object is a cloud of particulate matter and may control the vehicle based on the probability.

Systems and methods for controlling multiple autonomous vehicles. One exemplary system includes a server including an electronic processor configured to receive, from a source device, a connected mode trip request including a first starting point, a destination, a first departure time, and a participant request. The electronic processor is further configured to receive a second starting point and to determine a first route including a destination arrival time. The electronic processor is further configured to determine a second route and a second departure time based on the second route and the destination arrival time. The electronic processor is further configured to send, to a recipient device, an invitation, including the second route and the second departure time. The electronic processor is further configured to receive, from the recipient device, a response to the invitation and send a notification based on the response to the source device.

A method of autonomous driving includes identifying, from detected information about an environment surrounding a vehicle on a roadway, a lateral surface profile of the roadway. Based on the lateral surface profile of the roadway, vertical wheel positions at identified candidate future lateral positions of the vehicle are determined. Based on the vertical wheel positions, as part of a driving path along the roadway, future lateral positions of the vehicle from among the identified candidates therefor are determined using an energy function that favors low vertical wheel positions.

Systems and methods for navigating a host vehicle are disclosed. In one implementation, a system includes a processor configured to receive from a camera onboard the host vehicle a captured image representative of an environment of the host vehicle. The captured image is provided to a trained system. The trained system is configured to infer an output from the captured image a presence of a curved road segment in the captured image, wherein the curved road segment is associated with a road on which the host vehicle is traveling. The processor is configured to receive the output provided by the training system. The output includes at least one speed value for the host vehicle. The at least one speed value output from the trained system is based on a proximity of the host vehicle to the curved road segment and based on at least one characteristic of the curved road segment represented in the captured image. The processor is configured to cause the host vehicle to take at least one navigational action based on the determined at least one speed value.

A method is provided for determining a maximum speed limit for a reversing vehicle combination that includes a towing vehicle and at least one towed trailer. The method includes determining a maneuver that is to be performed by the vehicle combination, simulating the complete maneuver in advance by using a control algorithm and a state space model, thereby obtaining the steering behavior of the vehicle combination during the maneuver, and calculating the maximum speed limit for the vehicle combination during the maneuver by using at least one predefined limiting condition. A maximum speed limit for a reverse assistance function can be estimated in advance, which allows for a faster and more efficient reversing of the vehicle combination, and at the same time allows for an improved comfort for the driver.

A method is provided for determining a maximum speed limit for a reversing vehicle combination that includes a towing vehicle and at least one towed trailer. The method includes determining a maneuver that is to be performed by the vehicle combination, simulating the complete maneuver in advance by using a control algorithm and a state space model, thereby obtaining the steering behavior of the vehicle combination during the maneuver, and calculating the maximum speed limit for the vehicle combination during the maneuver by using at least one predefined limiting condition. A maximum speed limit for a reverse assistance function can be estimated in advance, which allows for a faster and more efficient reversing of the vehicle combination, and at the same time allows for an improved comfort for the driver.

A vehicle and trailer display system is disclosed. The display system includes a plurality of imaging devices disposed on the vehicle, each having a field of view. The display system further includes a screen disposed in the vehicle operable to display images from the imaging devices. A controller is in communication with the imaging devices and the screen and is operable to receive a hitch angle corresponding to the angle between the vehicle and the trailer. Based on the hitch angle, the controller is operable to select a field of view of an imaging device to display on the screen.

A vehicle and trailer display system is disclosed. The display system includes a plurality of imaging devices disposed on the vehicle, each having a field of view. The display system further includes a screen disposed in the vehicle operable to display images from the imaging devices. A controller is in communication with the imaging devices and the screen and is operable to receive a hitch angle corresponding to the angle between the vehicle and the trailer. Based on the hitch angle, the controller is operable to select a field of view of an imaging device to display on the screen.

A method according to an exemplary aspect of the present disclosure includes, among other things, controlling an electrified vehicle by adjusting a deceleration rate based on a closing rate of the electrified vehicle to an oncoming object.

A collision avoidance assistance device for a vehicle is provided. The collision avoidance assistance device includes a camera configured to acquire an image of an area around the vehicle and a controller. The controller is configured to: detect an image of an animal in the image of the area around the vehicle; determine a type of the animal detected in the image; retrieve behavior characteristics index values representing behavior characteristics of the determined type of the animal; calculate a future presence area of the animal based on the behavior characteristics index values; determine a probability of a collision between the animal and the vehicle based on the calculated future presence area of the animal; and perform a collision avoidance assistance function based on the determined probability of the collision between the animal and the vehicle.