ADAS & Autonomous Driving Solutions

Advanced AI-powered Object Detection System for Enhanced Vehicle Safety in Automotive ADAS

Create an AI-powered object detection platform capable of real-time processing, precise annotation, and high-confidence recognition of dynamic road objects to support ADAS features.

AWS for cloud infrastructure and scalable storage, Python for scripting and automation, PyTorch and TensorFlow for developing deep neural networks...

Development of a Gesture-Based Distraction-Free IoT Driving Assistance Application

Automotive

A mobile application that recognizes user gestures to control device features, integrates with multiple external devices and apps via IoT, detects user activity in real time, and provides trip logging capabilities.

Mobile development platforms (e.g., Android Studio, iOS SDK) with support for Bluetooth and sensor integration, Gesture recognition algorithms utilizing SDKs or custom-developed models, Activity recognition services for detecting user state (walking, driving, cycling)...

Development of a Vision-Based Data Collection and Analytics Platform for Roadway Safety Enhancement

Automotive

Development of a robust, scalable platform for real-time collection, processing, and analytics of vision-based traffic data from dashcam devices, with user-friendly interfaces and API integrations for downstream applications.

Android-based data collection modules, Web-based analytics and visualization interfaces, Cloud infrastructure supporting scalable storage and processing...

Advanced Multiview Depth Perception System for Next-Generation Autonomous Vehicles

Automotive

Develop a comprehensive multiview depth perception system capable of combining data from multiple stereo cameras, supporting calibration, real-time processing, and adaptive algorithms for diverse hardware configurations.

Simulation environments for early algorithm testing (e.g., custom hardware simulators)., Signal analysis and machine learning techniques for real-time processing., Camera calibration and image rectification algorithms....

Development of a Safety-Centric Autonomous Vehicle Risk Assessment and Hazard Analysis System

Automotive

Development of software components capable of processing sensor data to generate collision-free trajectories, perform hazard identification, risk quantification, and facilitate real-time safety decision-making in autonomous vehicle systems.

Model-based safety analysis tools supporting ISO 26262 workflows, Sensor fusion and real-time data processing frameworks, Fault detection and diagnosis algorithms...

Advanced Bluetooth and AI/ML-Powered Automated Parking Management System

Automotive

A comprehensive system facilitating Bluetooth-enabled vehicle recognition, automated gate control, payment automation, and parking lot management through a unified application platform.

Node.js for BLE interaction drivers, Custom AI/ML models for vehicle detection and positioning, Cross-platform mobile development frameworks such as Xamarin...

Automation of Road Sign Labeling Using Transfer Learning and Computer Vision for Autonomous Driving Analysis

Automotive

Design and implement an AI system that automatically detects and classifies road signs within video data, streamlining the labeling pipeline for autonomous vehicle analysis.

Transfer learning using advanced neural network architectures trained on large datasets, Computer vision frameworks such as TensorFlow or PyTorch, Edge or cloud computing platforms for scalable processing

Development of a Modular Autonomous Vehicle Software Platform with Advanced CI/CD Capabilities

Automotive

Design and implement a modular, shareable software architecture for autonomous vehicle systems, with robust CI/CD pipelines and cross-platform deployment capabilities.

ROS (Robot Operating System), CMake for build management, Containerization technologies such as Docker...