Develop an AR-Enhanced Driving Assistance Platform within in-vehicle system which helps improve driver awareness, safety, and navigation through real-time augmented reality overlays
Included development and full testing services covering in-vehicle systems and infotainment integration
About Client
Industry:Automotive
Location:Japan
Client Challenges
Difficulty creating dynamic route simulations during driving
Lack of accurate lane and object detection
Limited ability to show nearby POIs directly in the system
No unified way to process camera data and project real-time AR overlays for better guidance
Solutions
Project delivered below outputs:
Developed Surround View Camera ECU: Integrated multiple cameras (front, rear, side) to create a seamless 360° view for object and lane detection.
Built Infotainment Applications: Designed applications to visualize driving routes, POIs, and AR overlays, supporting both night mode and daylight optimization for better user experience
AR Route Simulation: Implemented real-time lane rendering and route simulation on moving vehicles with adaptive overlays based on speed, environment, and sensor inputs
Object Detection & Classification: Used AI-based algorithms to detect pedestrians, vehicles, lane edges, and road objects. The system also flagged road anomalies (potholes, blocked lanes)
Porting Across Multiple Car Models: Ensured compatibility with different hardware architectures (NVIDIA Drive, Qualcomm Snapdragon Auto) and OS variations (QNX, Android Automotive, Linux-based platforms)
Technologies
FrontEnd: Flutter, ReactJS, NodeJS, TypeScript
Cloud Services: AWS EC2, Lambda
Back End: C/C++, Python, NodeJS, PostgreSQL
Benefits
Enhanced driver awareness and safety through AR-enabled real-time navigation
Reduced driver distraction with clear visual cues and 360° situational awareness
Supported future ADAS and autonomous driving capabilities with scalable architecture
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