AI-driven systems enabling vehicles to perceive surroundings, make decisions, and navigate safely without human intervention for smarter mobility.
Real-Time Collision Detection System
- Detects imminent crashes using object proximity and motion vectors.
- Uses camera for alert generation.
- Auto-triggers braking or steering actions in assisted driving mode.
- Tested in simulation and real-road environments.
- Supports ROS and autonomous stack integration.
Traffic Sign Recognition
- Detects and classifies speed limits, stop signs, warnings in real time.
- Trained on global sign datasets and regional variants.
- Supports on-dash overlay or AR integration.
- Improves driver awareness and autopilot response.
- Used in ADAS and smart vehicle systems.
Pedestrian and Cyclist Detection
- YOLOv8-based model for precise pedestrian and cyclist localization.
- Handles occlusions, night, and urban clutter conditions.
- Essential for AV navigation and safety modules.
- Integrated with braking and navigation logic.
- Supports real-time inference on automotive-grade GPUs.
Lane Detection and Road Edge Tracking
- Semantic segmentation model that detects lanes and road boundaries.
- Robust to curves, shadows, and lane fading.
- Used in AV path planning systems.
- Supports lane change and auto-steering decisions.
- Fusion with GPS for enhanced localization.
Vehicle Distance and Speed Estimator
- Monocular camera model that estimates speed and distance of vehicles.
- Assists in adaptive cruise control and collision mitigation.
- Combines CNN depth estimation with object tracking.
- Optimized for embedded NVIDIA Jetson and NXP platforms.
- Tested in Indian and US road conditions.
Signboard & Exit Detection in Highways
- Detects exit signs and direction boards for navigation assistance.
- Improves route alignment in fast-driving AVs.
- Uses OCR + visual detection pipeline.
- Useful in highway autopilot and last-mile delivery bots.
- Tested in multiple road signage systems.
Obstacle Detection for Parking and Low-Speed AVs
- Detects potholes, curbs, animals, and debris in slow-moving environments.
- Used in parking, valet systems, and warehouse AVs.
- Supports 360-degree cameras and low-cost ultrasonic sensors.
- Real-time alerts and obstacle map generation.
- Reduces minor accidents in constrained spaces.
Road Damage and Pothole Detection
- Analyzes road quality using dashcam or drone footage.
- Identifies cracks, pits, uneven surfaces for repair planning.
- Helps in municipal audits and AV navigation safety.
- Integrates with GIS systems.
- Trained with global road defect datasets.
Delivery Robots
- AI controller for autonomous last-mile robots in gated communities.
- Follows GPS and visual SLAM for navigation.
- Avoids pedestrians, pets, and obstacles dynamically.
- Provides package pickup/drop automation with security verification.
- Tested in smart campuses and residential areas.