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As part of an R&D initiative to advance driver assistance technologies, two camera-based modules were developed: a real-time capable algorithm for detecting and tracking moving objects, and an enhanced lane tracking system for more accurate lane recognition and maintenance.
Project Overview
As part of an R&D initiative to advance driver assistance technologies, two camera-based modules were developed: a real-time capable algorithm for detecting and tracking moving objects, and an enhanced lane tracking system for more accurate lane recognition and maintenance. Both components were implemented in C++/Qt and tested under real driving conditions.
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Client Chanlanges And Our Solutions
Key Challenges
Real-time performance on embedded automotive hardware
Reliable detection under changing light and weather conditions
High accuracy requirements for object and lane tracking
Integration into an existing perception architecture with strict timing constraints
Solutions Delivered
Developed a real-time capable algorithm for camera-based object detection and tracking
Implemented both modules in C++/Qt with focus on performance and memory optimisation
Conducted systematic testing and performance tuning for embedded deployment
Delivered modular, reusable software components ready for ADAS integration
Outcomes
Reliable real-time detection and tracking of vehicles and pedestrians
Enhanced lane tracking performance even in low-visibility or poorly marked road conditions
Robust, scalable software architecture suited for series production in ADAS
Successful validation across a wide range of real-world and simulated driving scenarios
Benefits For The Client
Increased safety
More accurate lane keeping and collision prevention
Reliable perception
Stable computer vision performance under real-world noise and disturbances
Efficient execution
High-performance C++/Qt implementation for resource-constrained platforms
Future readiness
Reusable modules adaptable to next-generation ADAS
Technological edge
Integration of innovative computer vision methods in pre-series development
Role & Responsibilities
Designed and developed computer vision algorithms for object and lane tracking
Implemented performance-optimised, modular code in C++/Qt
Conducted testing and validation in vehicles and on test benches
Optimised algorithms for processing speed and accuracy
Our Cases
The following case studies reflect our experience in delivering complex software and data solutions under regulated industry standards.
The methods shown here now form the basis of our structured delivery model for UK digital transformation — with a focus on transparency, scalability, and approval-readiness.
The methods shown here now form the basis of our structured delivery model for UK digital transformation — with a focus on transparency, scalability, and approval-readiness.
Autonomous Driving & Test Strategy
In the context of next-generation driver assistance systems and autonomous vehicle functions, a cross-functional testing strategy was required to ensure compliance with both safety-critical standards and internal quality benchmarks.
See case
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FX Options Trading Platform (FinTech)
As part of a FinTech initiative, a high-performance trading platform for foreign exchange options (FX options) was developed.The goal was to deliver a multi-device, user-friendly solution including real-time pricing, order execution, and integrated risk management tools.
See case
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Secure Government Messenger
A mobile communication solution was developed to enable secure, encrypted messaging for sensitive internal communication within enterprises and public sector institutions.The application was specifically designed for use on BlackBerry smartphones.
See case
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Test Management &
Supplier Coordination
Supplier Coordination
A safety-critical control unit required full end-to-end validation from concept phase to start of production (SOP). International Tier-1 suppliers had to be assessed, integrated into the project environment, and continuously supported in meeting OEM quality standards.
See case
Camera-Based Object Detection & Lane Tracking
As part of an R&D initiative to advance driver assistance technologies, two camera-based modules were developed: a real-time capable algorithm for detecting and tracking moving objects, and an enhanced lane tracking system for more accurate lane recognition and maintenance.
See case
Autonomous Driving & Test Strategy
In the context of next-generation driver assistance systems and autonomous vehicle functions, a cross-functional testing strategy was required to ensure compliance with both safety-critical standards and internal quality benchmarks.
See case
Disclaimer
The projects shown were delivered under our German sister company Zaretskiy Consulting GmbH. The same leadership and delivery principles now guide STPM Consulting and Engineering Ltd’s work in the UK – applying proven methods to new project contexts.
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