An Internet appliance, comprising, within a single housing, packet data network interfaces, adapted for communicating with the Internet and a local area network, at least one data interface selected from the group consisting of a universal serial bus, an IEEE-1394 interface, a voice telephony interface, an audio program interface, a video program interface, an audiovisual program interface, a camera interface, a physical security system interface, a wireless networking interface; a device control interface, smart home interface, an environmental sensing interface, and an environmental control interface, and a processor, for controlling a data transfer between the local area network and the Internet, and defining a markup language interface communicated through a packet data network interface, to control a data transfer or control a remote device.

Internet appliance system and method

A modular intelligent transportation system, comprising an environmentally protected enclosure, a system communications bus, a processor module, communicating with said bus, having a image data input and an audio input, the processor module analyzing the image data and/or audio input for data patterns represented therein, having at least one available option slot, a power supply, and a communication link for external communications, in which at least one available option slot can be occupied by a wireless local area network access point, having a communications path between said communications link and said wireless access point, or other modular components.

Modular intelligent transportation system

A method of estimating a time to collision (TTC) of a vehicle with an object comprising: acquiring a plurality of images of the object; and determining a TTC from the images that is responsive to a relative velocity and relative acceleration between the vehicle and the object.

Collision warning system

A transportation vehicle with an autonomous driving control has a set-up mode, an active drive mode, a safe shutdown mode, and an emergency response mode. The active drive mode autonomously navigates along a driving route specified in the set-up mode. A driver sensing system senses a driver presence in the driver seat and a driver's physiological state. Active drive mode is not entered from set-up mode unless the driver is present in the driver seat and the physiological state matches a normal condition. While in active driving mode, an elapsed time period is measured whenever the driver presence is not detected. If the time period increases above a first threshold then a notice is given to the driver that the active drive mode may be interrupted. If the time period increases above a second threshold then the active drive mode is terminated and the safe shutdown mode is initiated. A sensed physiological state is compared to a predetermined emergency condition and if a match is found then the autonomous driving control terminates the active drive mode and the emergency response mode is initiated.

Autonomous vehicle with driver presence and physiological monitoring

A method for controlling a vehicle operating during a dynamic vehicle event includes monitoring a first input image, monitoring a first tracked object within the first input image in a first tracking cycle, monitoring a second input image, monitoring a second tracked object within the second input image in a second tracking cycle, and determining a dissimilarity measure comparing the first tracked object to the second tracked object. The dissimilarity measure estimates whether the first tracked object and the second tracked object represent a single tracked object proximate to the vehicle. The method further includes associating the first tracked object and the second tracked object based upon the dissimilarity measure, and utilizing the associated objects in a collision preparation system to control operation of the vehicle.

Multiobject fusion module for collision preparation system

An image sensor section and a millimeter-wave sensor section separately detect objects. A sensor matching section determines whether the objects detected by the image sensor section and the millimeter-wave sensor section are one and the same object. If the objects are one and the same object, the sensor matching section estimates a position of the obstacle after a certain period. A collision prediction section determined whether there is going to be a collision between the vehicle and the object 50 from the position estimated by the sensor matching section.

Collision prediction device, method of predicting collision, and computer product

PROBLEM TO BE SOLVED: To provide a state detection device and a state detection method for highly accurately detecting the state of a target person.SOLUTION: The state detection device includes: a detection part for analyzing an image obtained by picking up the image of a target person which is present on or around a bed to detect the moving direction of the target person; a first determination part for determining a state including the presence/absence of the existence of a caregiver who cares the target person on the basis of the image in a predetermined range near the bed included in the image; a second determination part for determining the state of each safety device on the basis of at least either an image showing the state of at least one safety device installed in the bed included in the pickup image or notification from each safety device showing the mounted state of each safety device; a determination part for determining a state relating to the current safety of the target person on the basis of the moving direction of the target person detected by the detection part, the past state of the target person, information showing the state of the caregiver and information showing the state of each safety device; and an output part for outputting the information showing the current state of the target person obtained by the determination part.

State detection device and state detection method

A vehicle-mounted image processor in which image analysis for judging the possibility of a danger, e.g. crash, can be carried out accurately even when the speed of a vehicle is high. The vehicle-mounted image processor comprises a means for storing a specified volume of image data delivered from a vehicle-mounted camera, a means performing image analysis only of the image data in a specified range of the latest image data stored in the image data storage means, and a processing object control means for allowing the image analyzing means to grasp the moving speed of the vehicle, to specify an object being processed such that the size and the position thereof has a negative correlation with the moving speed of the vehicle in the image data stored in the image data storage means, and to perform image analysis on the image data in the specified range.

Vehicle-mounted image processor

An alarm system includes a miniature camera ( 10 ), a loudspeaker ( 20 ), a vehicle speed sensor ( 30 ), a longitudinal G sensor ( 40 ), a lateral G sensor ( 50 ) and an on-vehicle unit ( 60 ). A CPU ( 60 a ) of the on-vehicle unit ( 60 ) executes respective programs ( 61 )-( 64 ) in a ROM ( 60 h ), thereby outputting, if a traveling distance during a period for which a driver D continues to take an abnormal behavior exceeds a predetermined value when a traveling state of an automobile is kept stable, an alarm corresponding to a magnitude of the excess over the predetermined value from the loudspeaker ( 20 ). The alarm system is thus configured and is therefore capable of exactly outputting the alarm when a danger actually rises.

Alarm system, alarm control apparatus and alarm control program

There are provided an image processing method, an image processing system, an image processing device, and a computer program for using an on-vehicle camera mounted on a vehicle for imaging a face of a driver and judging presence/absence of an imaging object in the image acquired. An average luminance of an image acquired when light of a particular wavelength is applied in the imaging direction is compared to an average luminance of an image acquired when no light is applied. When the difference between the average luminance values is equal to a reference value or below, it is judged that the imaging object is absent in the image obtained by imaging.

Image processing method, image processing system, image processing device, and computer program

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Taku Katagiri

Author Tools

Chat about Author