A character recognition apparatus displays likelihood maps to indicate object presence during processing.
A vehicle periphery monitoring apparatus divides a detection line into portions based on camera-to-spot distances to evaluate pixel brightness changes.
Sensors detect reverse motion and obstacles to trigger rotor disengagement, preventing kickback damage.
Segmenting perception into boundary, bulb, and state stages resolves accuracy complexity trade-offs in diverse regional traffic systems.
A collision avoidance module takes control of a vehicle to define and update safe paths in real time.
A control-target vehicle setting apparatus integrates image and reflection point signals to identify targets.
A deep neural network propagates ground truth data from the image domain to LiDAR range images for instance segmentation.
A vehicle terminal detects preceding brake lamp states to enable adaptive cruise control parameter adjustments.
Photogrammetry algorithms compute real-world distances and remove redundant vertices to resolve labor-intensive manual measurement bottlenecks.
An object detection device calculates confidence levels for image regions to identify occluded objects.
Online tensor robust PCA updates image tensors sequentially to reduce memory usage.
Segmenting point clouds into stationary alignment areas and inspection zones prevents false detections caused by moving object interference.
A stereo camera with dual processing paths detects and classifies objects to reduce installation complexity while improving error protection.
Aerial imagery crop classification calculates groundwater levels by analyzing satellite images, eliminating the need for expensive test wells.
Trailer-mounted signaling displays transmit intent messages to resolve visual obstruction caused by large autonomous trucks.
Satellite spectral inversion with GBDT models estimates wheat kernel moisture content, replacing inefficient direct drying methods.
Segmenting the display area into multiple indicators resolves detection complexity while highlighting obscured objects for improved driver awareness.
Assigning importance scores to unlabeled sensor logs based on environmental metadata and object detection confidence.
An ability enhancement system analyzes image data to detect vehicular threats and issues warnings through wearable devices.
A periphery recognition apparatus estimates object presence in undetectable areas using information from adjacent detectors.
Satellite imagery processing predicts tillage and cover crop adoption rates by generating zonal summary time series to overcome immature tracking methods.
A wide-angle camera system performs inverse perspective transformation to correct image distortion and detect obstacles.
A detection system identifies wheel features to select image windows for upper body classification, streamlining the recognition process.
Segmenting image frames into blocks enables accurate smoke plume detection on low-power embedded computers, reducing reliance on expensive GPU systems.
An object recognition integration device associates measurement data with previous object data using certainty values to update current object states.
A dynamic grid forms in front of a host vehicle to define obstacle free cells for path planning.