A method and system for predicting a near future path for a vehicle. For predicting the near future path sensor data and vehicle driving data is collected. Road data is collected indicative of a roadway on the presently occupied road for the vehicle. The sensor data and the vehicle driving data is pre-processed to provide object data comprising a time series of previous positions, headings, and velocities of each of the objects relative the vehicle. The object data, the vehicle driving data, and the road data is processed in a deep neural network to predict the near future path for the vehicle. The invention also relates to a vehicle comprising the system.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver-assist object detection system is provided for a vehicle. One or more processing devices associated with the system receive at least two images from a plurality of captured images via a data interface. The device(s) analyze the first image and at least a second image to determine a reference plane corresponding to the roadway the vehicle is traveling on. The processing device(s) locate a target object in the first two images, and determine a difference in a size of at least one dimension of the target object between the two images. The system may use the difference in size to determine a height of the object. Further, the system may cause a change in at least a directional course of the vehicle if the determined height exceeds a predetermined threshold.

A method for navigating a vehicle automatically from a current location to a destination location without a human operator is disclosed. The method includes identifying a vehicle location using global positioning system (GPS) data regarding the vehicle. Also included is identifying that the vehicle location is near or at a parking location. Then, using mapping data defined for the parking location. The mapping data at least in part is used to find a path at the parking location to avoid a collision of the vehicle with at least one physical structure when the vehicle is automatically moved at the parking location. The method includes instructing the electronics of the vehicle to proceed with controlling the vehicle to automatically move from the current location to the destination location at the parking location. The electronics use as input at least part of the mapping data and sensor data collected from around the vehicle by at least two vehicle sensors. The path is configured to be updatable dynamically based on changes in the destination location or changes along the path. The destination location is a parking spot for the vehicle at the parking location.

An example operation includes one or more of receiving data, by a transport, from a device in proximity to the transport, the data comprises one or more of a speed, a direction, and a distance of the device from the transport, determining, by the transport, a dangerous situation based on the data, obtaining consensus, by the transport, to validate the dangerous situation from one or more of: one or more other devices proximate to the transport, and one or more other transports proximate to the transport, and notifying the device, by the transport, based on the consensus, the notification comprises the dangerous situation.

The present disclosure relates to a method for emergency steering of a vehicle in response to a failure of a vehicle steering system, comprising determining a failure of the vehicle steering system, locking a first and a second wheel of a steering axle of said vehicle, such that said first and second wheels of said steering axle of said vehicle are prevented from rotating, and applying a first drive torque to a first wheel and a second different torque to a second wheel, of a non-steering axle of said vehicle, thereby steering the vehicle into a desired direction. The present disclosure further relates to an emergency steering system of a vehicle for steering the vehicle in response to a failure of a vehicle steering system, as well as to a vehicle comprising such a system, and to a computer program for performing the steps of the method.

A method and system for target detection of a vehicle is proposed. In the method and system, when the vehicle is turning, a warning signal according to a risk level of collision is generated at the right timing as a risk level of collision between the host vehicle and the other vehicle behind the host vehicle may be accurately identified by correcting a driving path of the host vehicle and position of the other vehicle on the basis of a driving state of the host vehicle.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Methods, computer systems, and servers for processing collision avoidance feedback to vehicles using vehicle-to-vehicle wireless communication, are provided. One method includes detecting proximity separation between a first vehicle and a second vehicle (e.g., and other vehicles within the proximity separation). At least one of the sensors of the first vehicle or the second vehicle determines that a proximity separation is less than a threshold distance. A pairing algorithm is triggered between electronics of the first and second vehicle to enable direct communication for data exchange between the first and second vehicles. The method includes triggering a warning to one or both of the first and second vehicles if the data exchange determines that a probability exists that a heading of the first or second vehicles will result in a collision between the first and second vehicles. The method may initiate corrective action by one or both of the first or second vehicles if the data exchange between the first and second vehicles increases the probability that the heading will result in a collision between the first and second vehicles.

A method of detecting a malicious wireless vehicle-to-everything (V2X) communication includes retrieving perception data from a perception system on an ego vehicle, determining information about nearby objects from the perception data, receiving a first Basic Safety Message (BSM) from a first V2X source and determining if a vehicle location indicated in the first BSM corresponds to a location visible to the ego vehicle. In the event that the vehicle location indicated in the first BSM does not correspond to a location visible to the ego vehicle, the method further includes receiving a second V2X communication from a second V2X source and determining if the second V2X communication indicates a vehicle at the vehicle location indicated in the first BSM. In the event that the second V2X communication does not indicate a vehicle at the vehicle location indicated in the first BSM, the first BSM data is flagged as malicious.

Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image of an environment of the host vehicle; detect, based on analysis of the image, a pedestrian crosswalk in the image; detect a presence of a traffic light and determine whether the traffic light is relevant to the host vehicle and the pedestrian crosswalk; determine a state of the traffic light; determine, when a pedestrian appears in the image, a proximity of the pedestrian relative to the pedestrian crosswalk; determine a planned navigational action for navigating the host vehicle relative to the pedestrian crosswalk based on a driving policy, the state of the traffic light and the proximity of the pedestrian relative to the pedestrian crosswalk; and cause one or more actuator systems of the host vehicle to implement the planned navigational action.