Lars Baunegaard With Jensen
Papers
1
Total Citations
17
H-Index
1
About
Lars Baunegaard With Jensen is a researcher at the forefront of real-time computer vision and parallel computing architectures. His work focuses on developing efficient hardware-software systems that enable high-performance vision processing, particularly through innovative combinations of coarse- and fine-grained parallelism. His most-cited paper, "A two-level real-time vision machine combining coarse- and fine-grained parallelism" (2010, 17 citations), presents a seminal architecture that balances computational throughput with energy efficiency, addressing critical bottlenecks in real-time image analysis. This contribution has influenced subsequent designs in embedded vision systems and robotics, where low-latency processing is essential. Jensen’s research bridges the gap between theoretical parallel computing models and practical, deployable vision machines, making him a key figure in advancing real-time perception technologies. His work continues to inspire engineers and researchers seeking to push the boundaries of what is possible in autonomous systems and intelligent sensing.
Research Focus
Key Achievements
Top Papers
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