Computer Vision for Autonomous Vehicles

Client: A leading global manufacturer of industrial vehicles
Industry: Automotive & Industrial Equipment
Solution Area: AI-powered Computer Vision for Autonomous Driving

The Challenge – Driving Innovation in Autonomy

The customer operates millions of industrial vehicles across warehouses and industrial sites worldwide. Traditionally, each vehicle is manually operated, which demands significant human resources. Transitioning to autonomous vehicles promised to revolutionize their business model by enhancing efficiency and scalability.

However, achieving autonomy in such a dynamic environment poses significant challenges. Safety-critical operations demand near-zero error tolerance, requiring robust AI systems capable of handling complex, real-world scenarios. The challenge lay in developing AI solutions that could ensure both precision and reliability, all while scaling across a global fleet.

The Solution – Pioneering AI for Autonomous Vehicles

HiQ’s AI specialists partnered with the customer to design, develop, and deploy advanced AI models for autonomous driving, focusing on computer vision and tracking technologies. The collaboration spans the entire development lifecycle, including:

• Data Preparation and Analysis: Ensuring the AI systems have access to diverse, high-quality training data.
• Model Optimization: Iteratively refining AI algorithms to improve accuracy and reliability in dynamic environments.
• Synthetic Data Generation: Building custom solutions to generate artificial data for training AI models, simulating real-world scenarios to accelerate development.
• Scalable AI Training Infrastructure: Developing robust training platforms powered by multi-GPU setups to handle the vast computational demands of AI model training.

The project is structured as a research-driven, iterative process, similar to a state-of-the-art AI lab. This approach ensures continuous improvement and rapid adaptation to new challenges.

Results: Bridging the Gap to Autonomy

HiQ’s expertise and collaboration have driven significant advancements in the customer’s journey toward autonomy:

• Improved AI Models: Continuous refinement of computer vision algorithms has significantly enhanced vehicle perception and decision-making capabilities.
• Accelerated Development: The use of synthetic data and scalable training infrastructure has sped up AI model iterations and testing cycles.
• Scalable Adoption: The solution has laid a strong foundation for deploying autonomous capabilities across a global fleet, moving the customer closer to fully autonomous operations.

The result is a transformative shift in the way industrial vehicles operate, driving efficiency, safety, and innovation on a global scale.

“The result is a transformative shift in the way industrial vehicles operate, driving efficiency, safety, and innovation on a global scale.”

HiQ’s Role: Driving Research-Led AI Innovation

HiQ’s role in the project extends beyond technical expertise. By working as an AI specialist team, HiQ has brought a research-like methodology to the customer’s development process, ensuring systematic progress and innovation. The team’s ability to seamlessly integrate technical solutions with practical, real-world applications has been a key driver of success.

HiQ’s Edge: Tackling Complex AI Challenges

HiQ stands out for its ability to tackle the most complex AI problems with a systematic, research-driven approach. By combining deep technical expertise in neural networks, data generation, and model deployment, HiQ ensures its solutions are not only cutting-edge but also impactful at scale.

With this project, HiQ has reaffirmed its position as a trusted partner in leveraging AI to redefine the future of mobility and industrial operations.