By Martin Stiborski, Managing Director, BRESSNER Technology
Driver Assistance, Partial Driving Automation, Conditional Driving Automation, High Driving Automation, Full Driving Automation: These terms describe the five stages or levels on the way to an autonomous vehicle. This is what they mean.
First stage: Driver Assistance
Assisted driving is already a common feature in many vehicles today. For example, cruise control ensures that the selected speed is maintained, and automatic adaptive cruise control (ACC) brakes or accelerates the vehicle depending on the distance to the vehicle or truck in front. This ensures that the safe distance is not undercut. The automatic Lane Keeping Assistant System (LKAS) is also becoming increasingly common.
Second Stage: Partial Driving Automation
In semi-automated driving, the vehicle can temporarily perform some tasks itself - without any human intervention. For example, a Level 2 vehicle can maintain in its lane, braking and accelerating on the highway at the same time.
To achieve this, vehicle manufacturers combine various individual systems with each other - in this case, the automatic proximity control system with the emergency braking assistant and the lane departure warning system. The overtaking assistant is also a Level 2 function. So is automatic parking, where the driver no longer must reach for the steering wheel. Tesla's Autopilot, for example has these capabilities.
In comparison to assisted driving at Level 1, the driver of Level 2 vehicles can briefly take his hands off the wheel when the vehicle is in semi-automated mode. However, he must always monitor the assistance systems and correct any malfunctions. The driver would be responsible for an accident - even if his vehicle did not report a malfunction.
Third Stage: Conditional Driving Automation
Highly automated vehicles (Level 3) can perform certain driving tasks autonomously and without human intervention, but only for a limited period of time and under suitable conditions specified by the manufacturer. They overtake, brake, accelerate - depending on the traffic situation.
Level 3 vehicles will probably be on the road on highways first: There, there is no oncoming traffic, the lane markings are generally in proper condition, and the roads are continuously recorded as digital maps. As soon as the driver puts his vehicle into highly automated mode, he is allowed to turn his attention away from the traffic. This means, for example, that they can read the newspaper or turn their attention to the passengers in the back seats. However, if the system detects a problem and sends a signal, the driver must take over the wheel immediately.
Fourth Stage: High Driving Automation
In the development departments of the major vehicle companies, as well as at Apple, Google and Uber, engineers and computer scientists are working flat out on the full automation of the vehicle, i.e. level 4 on the road to autonomous driving. At this level, the technical systems perform all driving tasks automatically, and the vehicle can also cover longer distances without intervention.
The vehicle could therefore enter the highway, merge into traffic even at high speed, follow the lane, signal, overtake, brake if necessary, accelerate and finally leave the highway again.
At the end of such a fully automated journey, the occupants can take over the wheel again. However, if they are unable to do so or do not want to, the vehicle must reach a safe state and head for a parking space, for example. To achieve stage 4 in autonomous vehicles, powerful AI inference hardware supporting many different inferencing engines operating and coordinating simultaneously is required.
Fifth Stage: Full Driving Automation
The fifth and final stage completes autonomous driving. The vehicle is now completely guided by the system and performs all the necessary tasks automatically. The autonomous vehicle can even handle complex situations - such as crossing an intersection, driving through a traffic circle or behaving correctly at a crosswalk. There is no longer a driver, only passengers.
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The character of modern warfare is being reshaped by data. Sensors, autonomy, electronic warfare, and AI-driven decision systems are now decisive advantages, but only if compute power can be deployed fast enough and close enough to the fight. This reality sits at the center of recent guidance from the Trump administration and Secretary of War Pete Hegseth, who has repeatedly emphasized that “speed wins; speed dominates” and that advanced compute must move “from the data center to the battlefield.”
OSS specializes in taking the latest commercial GPU, FPGA, NIC, and NVMe technologies, the same acceleration platforms driving hyperscale data centers, and delivering them in rugged, deployable systems purpose-built for U.S. military platforms. At a moment when the Department of War is prioritizing speed, adaptability, and commercial technology insertion, OSS sits at the intersection of performance, ruggedization, and rapid deployment.
Maritime dominance has long been a foundation of U.S. national security and allied stability. Control of the seas enables freedom of navigation, power projection, deterrence, and protection of global trade routes. As the maritime battlespace becomes increasingly contested, congested, and data-driven, dominance is no longer defined solely by the number of ships or missiles, but by the ability to sense, decide, and act faster than adversaries. Rugged High Performance Edge Compute (HPeC) solutions have become a decisive enabler of this advantage.
At the same time, senior Department of War leadership—including directives from the Secretary of War—has made clear that maintaining superiority requires rapid integration of advanced commercial technology into military platforms at the speed of need. Traditional acquisition timelines measured in years are no longer compatible with the pace of technological change or modern threats. Rugged HPeC solutions from One Stop Systems (OSS) directly addresses this challenge.
Initial design and prototype order valued at approximately $1.2 million
Integration of OSS hardware into prime contractor system further validates OSS capabilities for next-generation 360-degree vision and sensor processing solutions
ESCONDIDO, Calif., Jan. 07, 2026 (GLOBE NEWSWIRE) -- One Stop Systems, Inc. (OSS or the Company) (Nasdaq: OSS), a leader in rugged Enterprise Class compute for artificial intelligence (AI), machine learning (ML) and sensor processing at the edge, today announced it has received an approximately $1.2 million pre-production order from a new U.S. defense prime contractor for the design, development, and delivery of ruggedized integrated compute and visualization systems for U.S. Army combat vehicles.
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