Niall R. Lynam

What is he best known for?

The fields of study he is best known for:

• Electrical engineering
• Mechanical engineering
• Artificial intelligence

Niall R. Lynam spends much of his time researching Computer vision, Artificial intelligence, Casing, Windshield and Acoustics. His research links Computer graphics with Computer vision. His Casing research includes themes of Video screen and Field of view, Optics.

The study incorporates disciplines such as Character recognition, Image and Image processor in addition to Field of view. Niall R. Lynam interconnects Automotive engineering, Steering system, Machine vision and Microphone in the investigation of issues within Windshield. He has researched Acoustics in several fields, including Head, Computer hardware, Engineering drawing and Base.

His most cited work include:

• Imaging system for vehicle (1162 citations)
• Video mirror systems incorporating an accessory module (1081 citations)
• Vision system for vehicle (591 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Optics, Windshield and Mirror neuron. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Computer graphics and Display device. His study in Computer vision concentrates on Image processor, Backup camera and Navigation system.

His Optics research incorporates themes from Substrate and Mirror mount. His studies in Windshield integrate themes in fields like Acoustics, Control system, Headlamp, Base and Mount. His Acoustics research incorporates elements of Signal, Microphone and Audio signal.

He most often published in these fields:

• Artificial intelligence (25.53%)
• Computer vision (25.53%)
• Optics (24.82%)

What were the highlights of his more recent work (between 2015-2021)?

• Artificial intelligence (25.53%)
• Computer vision (25.53%)
• Video image (12.06%)

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

His primary areas of investigation include Artificial intelligence, Computer vision, Video image, Acoustics and Windshield. In the subject of general Artificial intelligence, his work in Field of view and Image processor is often linked to Monitoring system, thereby combining diverse domains of study. The various areas that Niall R. Lynam examines in his Video image study include Video camera, Machine vision and Display device.

His Video camera research includes elements of Casing and Coaxial cable. His research in Acoustics intersects with topics in Electrical connector, Blind spot and Printed circuit board. His study looks at the intersection of Windshield and topics like Head-up display with Dashboard.

Between 2015 and 2021, his most popular works were:

• Vehicle vision system with blind zone display and alert system (17 citations)
• Cabin monitoring system for a vehicle (15 citations)
• Caseless rearview mirror assembly (7 citations)

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

• Electrical engineering
• Mechanical engineering
• Artificial intelligence

His main research concerns Video image, Field of view, Video camera, Computer vision and Artificial intelligence. His research on Video image frequently connects to adjacent areas such as Acoustics. His Acoustics research is multidisciplinary, incorporating elements of Ball, Pivot joint, Electronics, Windshield and Backup camera.

Niall R. Lynam focuses mostly in the field of Field of view, narrowing it down to matters related to Body side and, in some cases, Computer graphics. His Video camera research is multidisciplinary, relying on both Video screen, Computer hardware, Display device, Backup and Trailer. While working on this project, Niall R. Lynam studies both Computer vision and Monitoring system.