Patent classifications
G06V20/588
Efficient inferencing with piecewise pointwise convolution
Certain aspects of the present disclosure provide techniques for performing piecewise pointwise convolution, comprising: performing a first piecewise pointwise convolution on a first subset of data received via a first branch input at a piecewise pointwise convolution layer of a convolutional neural network (CNN) model; performing a second piecewise pointwise convolution on a second subset of data received via a second branch input at the piecewise pointwise convolution layer; determining a piecewise pointwise convolution output by summing a result of the first piecewise pointwise convolution and a result of the second piecewise pointwise convolution; and providing the piecewise pointwise convolution output to a second layer of the CNN model.
Method, apparatus, and system for determining polyline homogeneity
An approach is provided for an asymmetric evaluation of polygon similarity. The approach, for instance, involves receiving a first polygon representing an object depicted in an image. The approach also involves generating a transformation of the image comprising image elements whose values are based on a respective distance that each image element is from a nearest image element located on a first boundary of the first polygon. The approach further involves determining a subset of the plurality of image elements of the transformation that intersect with a second boundary of a second polygon. The approach further involves calculating a polygon similarity of the second polygon with respect the first polygon based on the values of the subset of image elements normalized to a length of the second boundary of the second polygon.
VEHICLE CONTROL SYSTEM AND METHOD
A control system for controlling generation of a steering overlay signal to control a trajectory of a host vehicle can include one or more controllers and is configured to identify a lateral boundary of the host-vehicle lane of travel. The control system monitors a position of the host vehicle in relation to the lateral boundary of the host-vehicle lane of travel. A lateral velocity of the host vehicle is determined by the control system. The steering overlay signal is generated based on a determination that the host vehicle is approaching or traversing the lateral boundary of the host-vehicle lane of travel and that the determined lateral velocity is greater than or equal to a first lateral velocity threshold. The control system can determine a lateral separation between the host vehicle and an object.
SENSOR AIMING DEVICE, DRIVING CONTROL SYSTEM, AND CORRECTION AMOUNT ESTIMATION METHOD
A sensor aiming device includes: a target positional relationship processing unit for outputting positional relationship information of first and second targets; a sensor observation information processing unit configured to convert the observation result of the first and second targets into a predetermined unified coordinate system according to a coordinate conversion parameter, perform time synchronization at a predetermined timing, and extract first target information indicating a position of the first target and second target information indicating a position of the second target; a position estimation unit configured to estimate a position of the second target using the first target information, the second target information, and the positional relationship information; and a sensor correction amount estimation unit configured to calculate a deviation amount of the second sensor using the second target information and an estimated position of the second target and estimate a correction amount.
METHOD AND APPARATUS FOR PROCESSING PARKING SPACE STATE, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Provided are a method and apparatus for processing a parking space state, and a non-transitory computer-readable storage medium. The method includes: acquiring parking space state association data determined by parking space monitoring devices in a target parking lot, where the parking space monitoring devices comprise an in-parking space monitoring device and an out-parking space monitoring device; determining a parking space state of a target parking space in the target parking lot according to the parking space state association data; and updating, according to the parking space state of the target parking space, parking space state data in a multi-source parking space management platform to which the target parking space belongs.
NAVIGATION SYSTEM WITH MONO-CAMERA BASED TRAFFIC SIGN TRACKING AND POSITIONING MECHANISM AND METHOD OF OPERATION THEREOF
A method of operation of a navigation system comprising: receiving multiple frames, including a first frame and a second frame, of images; detecting a traffic sign from the images between the first frame and the second frame based on a sign recognition model; extracting a first image from the first frame and a second image from the second frame; matching the traffic sign is the same in the first image and the second image based on a similarity model; generating a sign location of the traffic sign with an inertial measurement unit reading based on the first image and the second image; and generating a global coordinate for the sign location for displaying on a navigation map.
Lane marking
Systems and methods for the detection and analysis of road markings and other road objects are described. A method for detection of road markings comprises identifying image data including lane markings associated with a road segment, defining a plurality of subsections for the road segment, identifying boundary recognition observations for the lane markings from the image data corresponding to the at least one of the plurality of subsections for the road segments, calculating one or more clusters for the boundary recognition observations according to color or intensity, and outputting a lane marking indicator indicating the color or the intensity, for the at least one of the plurality of subsections for the road segments, in response to the one or more clusters.
VEHICLE CONTROL DEVICE
Provided is a vehicle control device capable of preventing a delay in driver's bank angle operation during traveling of a straddle type vehicle on a curve and enhancing safety of the vehicle. The vehicle control device 100 is a device that is mounted on a two-wheeled motor vehicle and controls the vehicle to travel while following a preceding vehicle. The vehicle control device 100 includes a curvature acquisition unit 110 that acquires a curvature of a road in front of the vehicle and a driving force control unit 120 that limits a change amount of driving force of the vehicle per unit time based on the curvature acquired by the curvature acquisition unit 110.
Apparatus and method for providing notification of control authority transition in vehicle
An apparatus for providing a notification of control authority transition in a vehicle is provided. The apparatus includes a speaker configured to output a sound notification, a vibration motor configured to output a vibration notification, and a control circuit configured to be electrically connected with the speaker and the vibration motor. The control circuit is configured to output a first notification using the speaker during a first time interval, when a situation to transfer control authority for the vehicle occurs, output a second notification using the speaker and the vibration motor during a second time interval, after the first time interval elapses, and output a third notification using the speaker and the vibration motor during a third time interval, after the second time interval elapses.
Ambiguous lane detection event miner
A computer system obtains a plurality of road images captured by one or more cameras attached to one or more vehicles. The one or more vehicles execute a model that facilitates driving of the one or more vehicles. For each road image of the plurality of road images, the computer system determines, in the road image, a fraction of pixels having an ambiguous lane marker classification. Based on the fraction of pixels, the computer system determines whether the road image is an ambiguous image for lane marker classification. In accordance with a determination that the road image is an ambiguous image for lane marker classification, the computer system enables labeling of the image and adds the labeled image into a corpus of training images for retraining the model.