How to Elevate Autonomous Systems for Industrial Sites: Embotech Case Study

In today's evolving industrial landscape, Embotech is a leading provider of AI software for autonomous systems. Headquartered in Zurich, Switzerland, Embotech's solutions enhance safety, productivity, and energy efficiency in logistics yards, ports, and smart factories worldwide, serving over 50 clients globally. Their collaboration with a prominent special vehicle supplier to develop an autonomous vehicle (AV) for mixed traffic environments highlights their innovative approach and industry leadership.

In this reference case, Embotech partnered with understand.ai to tackle the challenge of generating the necessary ground truth for the training of the perception stack of the AV. The complexity of mixed traffic environments, such as ports, required precise calibration, fine-tuning of labeling specifications, efficient production workflows, and stringent quality control.

Autonomous yard tractor performing a reverse driving maneuver with high accuracy, Embotech.

Navigating Complexity

Creating an autonomous vehicle that can navigate the intricate and dynamic environments of ports is no small feat. The sensor setup, comprising two LIDARs and three cameras, required meticulous calibration to ensure accurate data collection. The goal was to produce 250,000 annotations within a two-month lead time. This target demanded a reliable and flexible approach to meet the high standards of quality and efficiency.

Enhancing Safety and Productivity

As a leading Ground Truth annotation provider, understand.ai is able to bring extensive ADAS/AD expertise to the table. The combination of advanced technology and expert knowledge of operational design domains allowed for a smooth transfer of knowledge and skills, resulting in a finely-tuned perception stack tailored to the unique needs of mixed traffic environments, significantly enhancing the AV's capabilities.

By contributing to Embotech's use case, understand.ai further supported initiatives aimed at boosting productivity and efficiency in industrial sites and yards. The advanced safety standards developed through this collaboration are promising to benefit all stakeholders involved in logistics operations, setting a new benchmark for the industry.

Dr. Giorgio Corbellini, Head of Commercial Vehicle Automation at Embotech, commended the collaboration:

Our partnership with understand.ai exemplified outstanding teamwork and consistently high-quality results. Their expertise significantly enhanced our project, and we are extremely pleased with the outcome.

Dr. Giorgio Corbellini
Dr. Giorgio Corbellini, Head of Commercial Vehicle Automation at Embotech

Advancing Innovation through Effective Partnerships

The successful collaboration between Embotech and understand.ai not only highlights effective partnership but also advances innovation in autonomous systems for logistical operations. As a result, this collaboration has improved safety, efficiency, and productivity in industrial sites by successfully addressing complex challenges and delivering high-quality solutions for the logistics industry.