Systems and methods navigate a vehicle by determining a free space region in which the vehicle can travel. In one implementation, a system may include at least one processor programmed to receive from an image capture device, a plurality of images associated with the environment of a vehicle, analyze at least one of the plurality of images to identify a first free space boundary on a driver side of the vehicle and extending forward of the vehicle, a second free space boundary on a passenger side of the vehicle and extending forward of the vehicle, and a forward free space boundary forward of the vehicle and extending between the first free space boundary and the second free space boundary. The first free space boundary, the second free space boundary, and the forward free space boundary may define a free space region forward of the vehicle. The at least one processor of the system may be further programmed to determine a navigational path for the vehicle through the free space region and cause the vehicle to travel on at least a portion of the determined navigational path within the free space region forward of the vehicle.

Provided is a vehicle travel control apparatus configured to, when a specific scene has not been detected, start deceleration control after a first set time has elapsed since alert processing is started, the vehicle travel control apparatus being further configured to, when the specific scene has been detected, start the deceleration control before the first set time has elapsed since the alert processing is started.

A limiting speed display device for vehicle includes a position information receiver, map display device for displaying map image, imaging device, display device for road sign image, limiting speed information determining device, road attribute information determining device, country information acquiring device, limiting speed estimation device, and limiting speed display device. The limiting speed estimation device estimates limiting speed for the road based on country information and road attribute information when the limiting speed information determining device determines that the limiting speed information is not included and the road attribute information determining device determines that the road attribute information is included.

A roadway-infrastructure-maintenance system using automated-vehicles to maintain a roadway includes an image-device and a controller. The imaging-device is suitable to mount on a host-vehicle. The imaging-device is used to detect an infrastructure-feature proximate to a roadway traveled by the host-vehicle. The controller is in communication with the imaging-device. The controller is configured to determine a need-for-maintenance of the infrastructure-feature. The system may include a digital-map that indicates an expected-presence of the infrastructure-feature, and the need-for-maintenance may be indicated when the infrastructure-feature is not-detected as expected. The system may also include a transmitter in communication with the controller. The transmitter may be used to communicate the need-for-maintenance to a maintenance-organization.

The present invention relates to a method and system for automatic localisation of static objects in an urban environment. More particularly, the present invention relates to the use of noisy 2-Dimensional (2D) image data to identify and determine 3-Dimensional (3D) positions of objects in large scale urban or city environments. Aspects and/or embodiments seek to provide a method, system, and vehicle for automatically locating static 3D objects in urban environments by using a voting-based triangulation technique. Aspects and/or embodiments also provide a method for updating map data after automatically new 3D static objects in an environment.

A position identifying apparatus includes a position detecting unit; an information acquiring unit; a feature extracting unit; an index value calculating unit; a feature selecting unit; a correlating unit; a weight setting unit; and a correcting unit.

The position detecting unit performs a map matching to detect a vehicle position on a map. The information acquiring unit acquires road information from the map. The feature extracting unit extracts features of ground object. The index value calculating unit calculates an index value representing a likelihood of a stationary object. The feature selecting unit selects feature candidates among the features having the index values larger than or equal to a predetermined likelihood of the stationary object. The correlating unit correlates the feature candidates with the road information. The weight setting unit sets weights of the feature candidates. The correcting unit corrects the position of the vehicle using the weights.

A vision system for a motor vehicle comprises an imaging apparatus (11) adapted to capture images (30) from a surrounding of the motor vehicle, and a data processing unit (14) adapted to perform image processing on images (30) captured by said imaging apparatus (11). The data processing unit (14) comprises a traffic sign detector (31) adapted to detect traffic signs in images (30) captured by said imaging apparatus (11) through image processing, a decision section (35) and a traffic sign estimator (36) that is adapted to estimate validity information (37) of one or more traffic signs in an image (30) captured by said imaging apparatus (11).

A stop-start control system for a vehicle includes a camera disposed at the vehicle and having a field of view exterior and forward of the vehicle. A control includes an image processor operable to process image data captured by the camera. Responsive to image processing of captured image data, the control determines the presence of a stopping area ahead of the vehicle and being approached by the vehicle. Responsive to determination of the presence of the stopping area ahead of the vehicle and being approached by the vehicle, and responsive to determination that the driver of the vehicle releases the accelerator pedal of the vehicle so the vehicle is coasting toward the determined stopping area, the control causes the engine to at least partially shut off.

A vehicle head-up display arrangement is provided that may include a projection unit, a vehicle driver eye position estimation unit and a detecting unit arranged to detect traffic signs and their location in relation to the vehicle, and a processing unit arranged to determine a content of the traffic signs. The processing unit is further arranged to determine relevance of content of the traffic signs. The projection unit is arranged to project light onto one or more areas of the windshield in line with the estimated eye position of the vehicle driver and traffic signs determined to have content not being relevant, such that these traffic signs, at least partially, are covered from the estimated eye position of the vehicle driver.

A method for determining a speed limit on a road segment on which a vehicle is travelling, including steps of obtaining a first speed limit by querying a geospatial database on the basis of a geographical location of the vehicle, of determining a confidence index associated with the first speed limit, of determining a second speed limit by analyzing at least one image obtained from a sensor of the vehicle, of determining a confidence index associated with the second speed limit, of selecting the speed limit associated with the highest confidence index, and of configuring an item of equipment of the vehicle on the basis of the speed limit associated with the highest confidence index.