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Dinesh Kumar

2 papers indexed

arxivcs.CV2026-07-21

CGMap: A Geospatially Aware Deep Learning Framework for Crop Gap Mapping Using UAV

Karan Sharma, Rajiv Ranjan, Dinesh Kumar, Shashank Tamaskar

In India, crop germination is primarily monitored by visual inspection and manual counting, which are prone to errors, despite their crucial role in determining eventual yield potential. This paper highlights a deep learning based pipeline which uses object detection methods and…

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crossrefInformation2024-02-09Cited by 13

Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques

Majdi Sukkar, Madhu Shukla, Dinesh Kumar, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya

Effective collision risk reduction in autonomous vehicles relies on robust and straightforward pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly impede the reliability of pedestrian tracking. In the current study, we strive to enhance the re…

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