An external environment recognition apparatus includes an in-vehicle detector and a microprocessor. The microprocessor is configured to perform: recognizing a surface of the road and a three-dimensional object on the road for each frame as the road surface information based on a three-dimensional…
The present disclosure relates to a method and apparatus for generating a lane polyline by using a neural network model. The method according to an embodiment may extract a multi-scale image feature by using a base image obtained from at least one sensor loaded in a vehicle. According to the…
A device may receive forward facing video data associated with a vehicle, and may process the forward facing video data, with neural network models, to detect lane lines and to determine classifications for the lane lines. The device may utilize the forward facing video data to generate a histogram…
An autonomous vehicle includes sensor(s) configured to acquire sensor data of an environment surrounding the autonomous vehicle, where the autonomous vehicle operates within the environment. The autonomous vehicle also includes an autonomy computing system including a processor(s) programmed to…
Examples disclosed herein may involve a computing system that is operable to (i) identify a set of vehicle trajectories that are associated with a segment of a road network, (ii) identify a first cluster of sampling points between the identified set of vehicle trajectories and a first sampling…
Embodiments relate to a method and apparatus for determining lane level localization of a vehicle with global coordinates. An automotive vehicle includes a vehicle navigation system, a database comprising standard-definition map data corresponding to road level latitude and longitude coordinates…
In various examples, feature identification using language models for autonomous and semi-autonomous systems and applications is described herein. Systems and methods described herein may use a language model(s) to determine information associated with features, such as surface markings, within an…
A system for identifying road defects within a roadway ahead of a moving vehicle, includes at least one camera in communication with a system controller and adapted to capture a plurality of time sequential images of the roadway ahead of the moving vehicle, and at least one motion sensor in…
The image recognition system includes an image sensor and an image processor. The image sensor acquires a plurality of sensed images of continuous frames. The image processor performs image recognition on the plurality of sensed images. The image processor determines on the plurality of sensed…
A vehicle with a road surface rendering function includes a projection member, a controller, and an external camera. The projection member is configured to project light for road surface rendering from the vehicle that is traveling to render a road surface rendered image on a road surface around…
A computer includes a processor and a memory storing instructions executable by the processor to determine an estimated pose of a vehicle in a global reference frame having a first error and to determine an estimated second error based on a combination of the first error and a map error, in which…
A system for vehicle trajectory planning. The system may include a polarized camera system configured to generate polarized images of a roadway to be driven over with a vehicle, a prior controller configured to generate a prior for the roadway based at least in part on the polarized images, and a…
A driving assistance device that recognizes a lane marking around an own vehicle with at least one sensor includes a lane marking detection unit that detects lane marking information from data acquired by the sensor, a lane marking type candidate estimation unit that recognizes a lane marking type…
Systems and methods for curating video and other driving-related data for use in driver coaching, which may include selecting or ranking driving behaviors for coaching, selecting or ranking drivers for coaching, selecting or ranking video and other data to be used in coaching, preparing for…
In some implementations, a video system may receive, from a camera mounted to a vehicle, a video of a portion of a road on which the vehicle is traveling. The video system may extract, from each frame of a plurality of frames associated with the video of the road, a frame strip to form a plurality…
An anomaly detection device includes a processor configured to extract a feature indicating the condition of a road surface by inputting an image representing surroundings of a vehicle into a feature extractor that has been trained to extract the feature, detect an abnormal condition in which the…
Systems and methods for predicting drivable paths relative to road segments are disclosed. In one implementation, a system includes a processor programmed to access topographical information associated with a road segment; generate a topographical representation of the road segment based on the…
A system for determining lane information. A memory storing instructions executable by a processor includes instructions to receive forward image data of a roadway from a forward-facing camera of a vehicle, determine visible lane boundaries of the driving lane based on lane marking features in the…
Methods and systems are provided to detect an instance of a line in a two-dimensional image captured by a vehicle and to determine whether the instance of the line is a lane boundary for a lane that will be used by the vehicle to traverse a route. An instance of a line in a two-dimensional image…
Provided is a vehicle control device configured to: acquire a camera image obtained by photographing a surrounding situation of a vehicle; generate a travelable region, which is a region in which the vehicle is capable of traveling, based on at least one of a camera road division line representing…
A method for detecting inattentive vehicle operation includes using a camera monitor system (CMS) controller to identify how centered a vehicle containing the CMS controller is within a first lane line and a second lane line. The determination is done by analyzing at least one image generated by…
Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining an image of an environment. A drivable area and boundary information associated with the environment are determined based on the image. At least one boundary for navigation of…
The technology relates to approaches for determining appropriate stopping locations at intersections for vehicles operating in a self-driving mode. While many intersections have stop lines painted on the roadway, many others have no such lines. Even if a stop line is present, the physical location…
The apparatus of the present disclosure detects a preceding vehicle and a white dashed line provided at regular intervals along a road from an image captured by a monocular camera. In addition, the apparatus of the present disclosure acquires speed information of the host vehicle. Then, the…
A road surface is classified by providing a set of data points that is attributable to a same road surface object. Each data point specifies a first variable and a second variable. For each data point, the first variable characterizes a horizontal motion exhibited by a vehicle when driving over the…
A method for detecting a lane for a driver assistance system. The method includes an arranging step in which a grid is arranged over a camera image from a vehicle camera, the camera image displaying a roadway. In a displaying step, a lane candidate is displayed using at least one parameter and/or a…
A system and method including receiving an image of a first lane of a road, the image being captured by a first sensor; defining the first lane as a set of N ordered points; representing the first lane by a combination of N ordered points and a predefined number of types of lane components, C…
A method for recognizing a road intersection ahead in the driving direction of a vehicle. In the method, an overall probability of the presence of the road intersection ahead is calculated on the basis of data acquired during the trip of the vehicle and the presence of the road intersection ahead…
An automated driving management system is applied to a vehicle that performs automated driving by using a perception sensor. The automated driving management system acquires first sensor perception information indicating a result of perception by the perception sensor. Reference information…
A vehicle assist device includes a camera that captures the surroundings of a host vehicle at different times, and a controller that processes the plurality of images captured at different times by the camera. The controller extracts a stationary object region, which is a region corresponding to a…