AI Product Development
Autonomous Driving AI with 3D Object Detection and Sensor Fusion
Client: Desay SV

Executive Summary
Desay SV advanced their autonomous vehicle technology with sophisticated 3D object detection, sensor fusion, and digital twin simulation, achieving Level 3+ autonomous capability with 99.7% object detection accuracy.
Challenge
Desay SV Automotive needed to develop cutting-edge autonomous driving technology while also creating innovative digital tools for the automotive industry. The challenge involved real-time processing of multiple sensor inputs, precise environmental understanding, and developing scalable AI solutions for both vehicle systems and business applications.
Solution
We delivered a comprehensive AI ecosystem spanning autonomous driving technology and digital innovation tools:
Autonomous Driving Core Technologies
Advanced Perception Systems
- 3D Object Detection: Multi-class detection of vehicles, pedestrians, cyclists, and static objects
- Lane Detection: Precise lane boundary identification and road topology understanding
- Sensor Fusion: Integration of LiDAR, camera, radar, and IMU data for robust perception
- Topology Detection: Real-time road network understanding and navigation planning
- Occupancy Detection: 3D space understanding for safe navigation and parking
Technical Implementation
- Edge Computing: NVIDIA Jetson AGX Orin deployment for real-time autonomous driving inference
- Sensor Integration: Multi-modal sensor fusion algorithms for enhanced reliability
- Real-time Processing: Sub-50ms inference pipeline for safety-critical applications
Digital Innovation Platform
AI-Powered Business Tools
- AI PPT Generation: Automated presentation creation for automotive product demonstrations
- Digital Twin Building: Virtual representation of vehicle systems and manufacturing processes
- New View Synthesis: 3D scene reconstruction and novel viewpoint generation
- World Model: Predictive simulation for autonomous driving scenario testing
Advanced AI Systems
- RAG System: Retrieval-Augmented Generation for automotive knowledge management
- AI Agent Platform: Dify-based intelligent assistants for customer service and technical support
- Long Video Synthesis: Extended video generation for training data augmentation and simulation
Results
The comprehensive AI platform achieved remarkable performance across all applications:
Autonomous Driving Performance
- Level 3+ Capability: Achieved conditional automation in highway and urban scenarios
- 99.7% Detection Accuracy for critical objects within 100m range
- <30ms Processing Time for complete perception pipeline
- 360° Environmental Awareness through advanced sensor fusion
- Safe Operation: Zero critical failures during 100,000+ km testing
Digital Innovation Impact
- 10x Faster presentation creation through AI automation
- Digital Twin Accuracy: 95% correlation with physical systems
- Cost Reduction: 40% decrease in development and testing costs
- Innovation Acceleration: 60% faster product development cycles
Technologies Used
Autonomous Driving Stack
- Edge Computing: NVIDIA Jetson AGX Orin, CUDA, TensorRT
- AI Frameworks: PyTorch, TensorFlow, OpenCV
- Computer Vision: 3D CNN, Transformer architectures, multi-view geometry
- Sensor Processing: Point cloud processing, camera calibration, sensor synchronization
Digital Platform Technologies
- Generative AI: GPT, Stable Diffusion, custom language models
- 3D Graphics: NeRF, 3D Gaussian Splatting, mesh processing
- AI Orchestration: Dify platform, LangChain, vector databases
- Cloud Infrastructure: Distributed computing, model serving, data pipelines
Technical Innovations
Multi-Modal Sensor Fusion
- Transformer-based attention mechanisms for sensor data integration
- Temporal consistency modeling across multiple frames
- Uncertainty quantification for safety-critical decisions
Generative AI Applications
- Context-aware content generation for automotive documentation
- Physics-informed video synthesis for simulation
- Interactive AI agents with domain-specific knowledge
Impact
Desay SV’s AI transformation established them as a leader in both autonomous driving technology and automotive digital innovation, setting new industry standards for AI-powered vehicle systems and business tools. The platform now serves as the foundation for next-generation smart vehicle development and has been adopted across multiple product lines.