D. Ramakrishna’s scientific contributions

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Publications (1)


Figure 1 -Camera Calibration Image
Figure 2: (a) Vehicle and camera coordinate system,(b) Bird's eye view before (left) , (c) after (right) correct mounting angles and (d) Lane point detection in grayscale bird's eye image.
Figure 3 Extrinsic parameters by apps, based on image and world coordinate
Figure 5 Tracking with test video -Detection in heavy traffic
Object Detection and Classification for Autonomous Vehicle
  • Article
  • Full-text available

March 2021

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515 Reads

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6 Citations

Journal of Physics Conference Series

B. Rajesh

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D. Ramakrishna

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A. Ramakrishna Raju

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The proposed work presents efficient objection detection and tracking algorithm for autonomous vehicles, which is developed in MATLAB with Image Processing Computer Version Toolbox and Automated Driving Toolbox. The developed algorithm track and detects moving and stationary objects such as other vehicles, pedestrians, and traffic lanes. Accurate and efficient tracking are important to analyze object behavior. For this work various build in detectors from MATLAB tool box were tested and compared. The evaluation of algorithm was carried on for 19 short videos from 8 seconds to 23 seconds, and then it applied to K-dataset and full road experiments by the Automated Driving Lab. The full road tests are between one to five minutes, including CAR to CAR WEST, CAR WEST to CAR, and campus marked roads.

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Citations (1)


... These approaches effectively detect vehicles, pedestrians, and traffic lanes using built-in detectors. However, the algorithms struggle under complex road conditions, such as varying lane widths and intersections, and their detection accuracy declines under low-light conditions and in dense traffic scenarios, indicating a need for enhanced adaptability in real-world applications [9]. ...

Reference:

A Novel Hybrid XAI Solution for Autonomous Vehicles: Real-Time Interpretability Through LIME-SHAP Integration
Object Detection and Classification for Autonomous Vehicle

Journal of Physics Conference Series