What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Electrical engineering
David I. Ferguson focuses on Artificial intelligence, Computer vision, Real-time computing, Object and Automotive engineering.
David I. Ferguson mostly deals with Representation in his studies of Artificial intelligence.
His Real-time computing research is multidisciplinary, relying on both Tracking, Simulation, Embedded system and IVMS.
His Simulation study combines topics in areas such as Lidar, Light detection and Point cloud.
His study in the field of Object type is also linked to topics like Degree of confidence and Mode.
As part of the same scientific family, he usually focuses on Automotive engineering, concentrating on Trajectory and intersecting with Data mining.
His most cited work include:
- System and method for predicting behaviors of detected objects (634 citations)
- Modifying behavior of autonomous vehicle based on predicted behavior of other vehicles (242 citations)
- Construction zone object detection using light detection and ranging (212 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer vision, Artificial intelligence, Object, Simulation and Real-time computing.
His work in Computer vision tackles topics such as Brightness which are related to areas like Object detection and Signal.
The Field of view and Vision based research David I. Ferguson does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Obstacle and Range, therefore creating a link between diverse domains of science.
His Object course of study focuses on Control and Control engineering.
His studies in Simulation integrate themes in fields like Mode, Automotive engineering and State.
His study in Real-time computing is interdisciplinary in nature, drawing from both Point cloud, Embedded system and Identification.
He most often published in these fields:
- Computer vision (48.15%)
- Artificial intelligence (48.15%)
- Object (30.86%)
What were the highlights of his more recent work (between 2014-2020)?
- Computer vision (48.15%)
- Artificial intelligence (48.15%)
- Object (30.86%)
In recent papers he was focusing on the following fields of study:
David I. Ferguson mostly deals with Computer vision, Artificial intelligence, Object, Automotive engineering and Real-time computing.
His work on Reference image and Image as part of general Computer vision research is often related to Obstacle and Range, thus linking different fields of science.
David I. Ferguson has included themes like Signal and Laser in his Artificial intelligence study.
His work on Driving mode is typically connected to School bus as part of general Automotive engineering study, connecting several disciplines of science.
His Real-time computing study frequently draws connections between related disciplines such as Simulation.
Identification is closely connected to Point cloud in his research, which is encompassed under the umbrella topic of Simulation.
Between 2014 and 2020, his most popular works were:
- Construction zone object detection using light detection and ranging (212 citations)
- Controlling a vehicle having inadequate map data (104 citations)
- Construction Zone Sign Detection (77 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Electrical engineering
His primary scientific interests are in Real-time computing, Simulation, Sign detection, Block cipher mode of operation and IVMS.
The study incorporates disciplines such as Point cloud, Identification, Object detection and Lidar, Light detection in addition to Simulation.
A majority of his Block cipher mode of operation research is a blend of other scientific areas, such as Control engineering, Vehicle tracking system and Remotely operated vehicle.
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