Kenneth Schofield

What is he best known for?

The fields of study he is best known for:

• Electrical engineering
• Artificial intelligence
• Optics

His primary areas of investigation include Computer vision, Artificial intelligence, Field of view, Windshield and Machine vision. Kenneth Schofield combines subjects such as Headlamp and Focal length with his study of Computer vision. His work deals with themes such as Control system, Computer graphics, Dimmer, Brake and Image capture, which intersect with Focal length.

His Field of view research is within the category of Optics. His Machine vision research incorporates themes from Automotive engineering, Remotely operated vehicle and Steering system. His Image processor research is multidisciplinary, incorporating perspectives in Lens and Character recognition.

His most cited work include:

• Imaging system for vehicle (1162 citations)
• Rearview vision system for vehicle including panoramic view (905 citations)
• Vehicle headlight control using imaging sensor (704 citations)

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

Kenneth Schofield mostly deals with Artificial intelligence, Computer vision, Optics, Field of view and Automotive engineering. His work in the fields of Machine vision, Image processor and Image overlaps with other areas such as Windshield. Kenneth Schofield frequently studies issues relating to Focal length and Computer vision.

His work on Photodetector and Glare as part of general Optics research is often related to Mirror neuron and Light responsive, thus linking different fields of science. His Field of view research is multidisciplinary, relying on both Image capture, Image sensor, Reflector and Backup camera. He has researched Image sensor in several fields, including Control and Headlamp.

He most often published in these fields:

• Artificial intelligence (28.21%)
• Computer vision (28.21%)
• Optics (26.92%)

What were the highlights of his more recent work (between 2011-2020)?

• Computer vision (28.21%)
• Artificial intelligence (28.21%)
• Image processor (11.54%)

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

His primary areas of study are Computer vision, Artificial intelligence, Image processor, Windshield and Machine vision. His work in the fields of Computer vision, such as Feature detection, Digital image processing and Image processing, overlaps with other areas such as Casing and Frame. His study in Luminance and Image sensor falls under the purview of Artificial intelligence.

Kenneth Schofield interconnects Control system, Field of view and Lane detection in the investigation of issues within Image processor. The concepts of his Field of view study are interwoven with issues in Video output, Light-emitting diode and Reversing. His work carried out in the field of Machine vision brings together such families of science as Automotive engineering, Virtual camera and Display device.

Between 2011 and 2020, his most popular works were:

• Vision system for vehicle (591 citations)
• Vehicular vision system (539 citations)
• Accessory system for vehicle (438 citations)

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

• Electrical engineering
• Artificial intelligence
• Optics

His main research concerns Computer vision, Artificial intelligence, Image processor, Windshield and Machine vision. He connects Computer vision with Casing in his study. The various areas that Kenneth Schofield examines in his Image processor study include Field of view, Real-time computing and Speed control system.

Much of his study explores Real-time computing relationship to Automotive engineering. Windshield is intertwined with Exposure period, Lens, IVMS, Steering system and Remotely operated vehicle in his study. With his scientific publications, his incorporates both Machine vision and Remote control vehicle.