Jeffrey Farr

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Database
• Computer vision

The scientist’s investigation covers issues in Electronic records, Computer hardware, Display device, Computer vision and Artificial intelligence. His work on Remote computer as part of his general Computer hardware study is frequently connected to User interface, Container and Time data, thereby bridging the divide between different branches of science. His Display device research covers fields of interest such as Information retrieval, Rendering, Source data, Excavation and Geographic area.

His studies deal with areas such as Mode and Geographic coordinate system as well as Computer vision. His studies in Geographic coordinate system integrate themes in fields like Input device and Real-time computing. He combines subjects such as Orientation and Image with his study of Landmark.

His most cited work include:

• Systems and methods for complex event processing of vehicle information and image information relating to a vehicle (265 citations)
• Locating equipment communicatively coupled to or equipped with a mobile/portable device (171 citations)
• Methods, apparatus and systems for generating searchable electronic records of underground facility locate and/or marking operations (163 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Computer hardware, Artificial intelligence, Computer vision, Display device and Technician. In the subject of general Computer hardware, his work in Docking station is often linked to Time data, Location data and User interface, thereby combining diverse domains of study. His work in the fields of Artificial intelligence, such as Landmark, Tracking and Orientation, intersects with other areas such as Path and Line.

Throughout his Display device studies, Jeffrey Farr incorporates elements of other sciences such as Excavation, Computer graphics, Digital image, Source data and Electronic records. In general Computer graphics study, his work on Rendering often relates to the realm of Graphical user interface, thereby connecting several areas of interest. In his study, Quality, Quality assessment and Transport engineering is strongly linked to Database, which falls under the umbrella field of Ticket.

He most often published in these fields:

• Computer hardware (21.28%)
• Artificial intelligence (20.57%)
• Computer vision (20.57%)

What were the highlights of his more recent work (between 2012-2017)?

• Ticket (14.18%)
• World Wide Web (8.51%)
• Excavation (15.60%)

In recent papers he was focusing on the following fields of study:

Ticket, World Wide Web, Excavation, Computer vision and Artificial intelligence are his primary areas of study. His Ticket study which covers Database that intersects with Human–computer interaction. World Wide Web is connected with Technician and Electronic records in his study.

His Excavation investigation overlaps with other disciplines such as Geographic area and Display device. His study in Computer vision concentrates on Tracking and Landmark. His study looks at the intersection of Remote computer and topics like Data mining with Quality assessment and Quality.

Between 2012 and 2017, his most popular works were:

• Methods and apparatus for overlaying electronic locate information on facilities map information and/or other image information displayed on a locate device (144 citations)
• Systems, methods, and apparatus for tracking an object (22 citations)
• Methods and apparatus for generating output data streams relating to underground utility marking operations (19 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Database
• Computer vision

His scientific interests lie mostly in Computer hardware, Set, Work site, Artificial intelligence and Computer vision. His work on Remote computer as part of general Computer hardware study is frequently linked to Barcode, therefore connecting diverse disciplines of science. His Set study overlaps with Data stream mining, Network packet, Electronic records, Image processing and Tracking.

Among his Work site studies, you can observe a synthesis of other disciplines of science such as Zoom, Landmark, World Wide Web, Technician and Ticket. His work in the fields of Artificial intelligence, such as Orientation, Image and Object, overlaps with other areas such as Overlay and Heading. Optical flow and Inertial measurement unit are the primary areas of interest in his Computer vision study.