Driving Autonomous Innovation: Mark Preston Discusses StreetDrone’s Progress at Cenex Expo

Mark Preston of StreetDrone shared exciting advancements at the Cenex Expo. He detailed future plans in vehicle autonomy. These plans focus on industrial and logistics environments. The conversation centered on StreetDrone’s successful work at Nissan’s Sunderland plant. The company transitioned from their 5GCal project to a newly funded endeavor. This new project is focused on scaling and commercialisation.

Scaling Autonomy in Real-World Industrial Settings

Preston highlighted that StreetDrone is expanding its autonomous fleet from initial trials to four operational trucks within the Nissan facility. These trucks are tasked with moving goods throughout the site. The real innovation, according to Preston, lies in targeting environments like factories and ports. This includes upcoming deployments at the Port of Rotterdam. These environments have private roads and controlled speeds, which allow for faster, safer commercialization of autonomous technology.

From Proof of Concept to Commercialization

The proven success at Nissan opened doors for StreetDrone to secure new projects abroad. Preston emphasized that areas like industrial logistics and port operations are the most immediate opportunities. They are viable and revenue-generating in terms of autonomy. This places StreetDrone among the UK’s leading players in this space.

Collaborating for Scale and Future Growth

The interview concluded with Preston stressing the importance of partnerships, industry collaboration, and continued outreach. StreetDrone is engaging with potential customers at events like Cenex. They also connect with industry supply chain partners. By doing so, StreetDrone is positioning itself at the forefront of commercializing autonomous vehicle technology for logistics. They are also focusing on industrial use cases.


Navigating Speed, Strategy & Innovation in Motorsport and Beyond

Featured

In this in-depth conversation, Mark Preston discusses his career at the forefront of motorsport and mobility innovation. He talks about his engineering roles at Arrows and McLaren. He also discusses founding Super Aguri F1, winning titles in Formula E, and pioneering autonomous vehicle technology at Oxa. The discussion explores leadership, strategy, marginal gains, AI, and building high-performance teams.

Conversation Highlights

In a wide-ranging discussion, Mark reflects on a career defined by pushing the boundaries of engineering, leadership, and innovation. His journey spans from the racetrack to autonomous technology. He began as a simulation and stress engineer in Australia. Later, he moved to the UK to pursue his Formula 1 dream. He eventually worked with Arrows and McLaren. A turning point came when he shifted from pure engineering to business leadership. He founded Super Aguri F1. He later achieved championship success in Formula E with DS Automobiles and now Lola & Yamaha. Throughout, the constant has been a deep commitment to learning, experimentation, and building high-performing teams.

Motorsport is an unparalleled arena for decision-making under pressure. Mark highlights that performance is tested every two weeks. Even small wins, like optimising pit stops or improving team communication, compound into success. Drawing from experience at McLaren, he emphasises the importance of institutional memory. He stresses the need for scientific rigour and structured processes over black art intuition. He also discusses how strategic clarity is critical in racing. Iteration is also vital. Scenario planning helps build resilient, innovative organisations across sectors.

Beyond motorsport, Mark shares insights from his leadership at Oxa. He is applying engineering knowledge to autonomous vehicles in ports and logistics. His focus remains on practical, scalable use cases — leveraging off-highway environments and deep software integration. AI and machine learning reshape both racing and autonomy. Mark combines technical depth with organizational clarity in his approach. He continually strives to stay on the “bleeding edge” where no one has the answers — yet.

Key Timestamps

  • 00:00 – Introduction & career overview
  • 04:15 – Lessons from McLaren & Arrows
  • 10:30 – Leadership in high-pressure environments
  • 17:45 – Marginal gains & small wins
  • 27:20 – Transition to autonomous vehicles
  • 38:10 – AI & machine learning in motorsport
  • 47:00 – Scenario planning & strategy

Follow My Work

To keep up with my latest work in motorsport, autonomous vehicles, and innovation, connect with me on LinkedIn or explore more projects at www.MarkAndrewPreston.com.