Dhruvraj Singh Shekhawat
Electronics & Communication Engineering
VIT Bhopal University
- AI
- Embedded systems
- Connected vehicles
- Computer vision
I build systems where sensing, communication and decisions meet. My current focus is a cooperative-driving simulation in which connected vehicles warn each other about hazards they cannot see yet.
Arrow keys or W A S D. Stay in the left or right lane under a sign to take that exit. Esc hands control back. Use the pad or swipe on the road. Stay in the left or right lane under a sign to take that exit.
Status
- Based in
- India
- VIT Bhopal University
- Stack
- Python, JavaScript, Java, C/C++, MATLAB
- Languages used across project repositories
- Public repositories
- 11
- Live from GitHub
- Last public push
- Live from GitHub
- Visits
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Featured build in bay 01
V2V communication
Cooperative driving simulation
A browser-based simulation of connected vehicles that share what they perceive, so a car can respond to a hazard hidden behind a blind corner before its own camera sees it.
Same simulated scenario and driver model, from the project README's reference run.
More from the garage
All projects-
Bay 02
Driver drowsiness detection
A real-time driver-monitoring prototype that tracks eye closure, yawning and head pose from a camera and sounds an alarm when drowsiness persists.
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Bay 03
Audio deepfake detection
A machine-learning model that classifies an audio clip as machine-generated or genuine.
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Bay 04
Semantic segmentation with U-Net
A deep-learning model for semantic segmentation of aerial imagery, built with Keras and TensorFlow and aimed at on-device use.
From the workshop
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