Vehicles have always needed to know where they are. But as autonomy advances, the accuracy and reliability of that knowledge becomes increasingly important. Thus, modern navigation systems do something more sophisticated than simply calculating a location. They also calculate how confident they are in that estimate. Here, Manuel Del Castillo VP of business development at GNSS software solutions specialist Focal Point Positioning, explains why this is crucial for autonomous driving in urban environments

Waymo recently announced plans to bring its robotaxi service to London, marking an important step for the UK’s emerging autonomous transportation sector.

Continue reading OPINION: The ‘confident but wrong’ problem in GNSS at ADAS & Autonomous Vehicle International.

The rapid acceleration of autonomous vehicle development is reshaping the future of mobility, with investment, regulation and consumer demand all pushing the industry forward. As OEMs move beyond advanced driver assistance toward higher levels of automation, the industry faces a defining moment. Continued progress will depend on a broader and more innovative vision to overcome the limitations that still constrain real-world deployment. Xavier Banque, strategic marketing manager, automotive and IoT at Trimble, discusses the issue

At the center of this challenge is positioning. Vehicles must be able to determine their exact location and velocity at all times with a level of precision and reliability that supports safe decision-making.

Continue reading Bridging the gap between relative sensing and absolute positioning at ADAS & Autonomous Vehicle International.

The automobile is undergoing one of the most profound transformations in its history. What was once a largely mechanical product is evolving into a software-centric system: the software-defined vehicle (SDV). In this new paradigm, it is no longer hardware alone that defines a vehicle’s capabilities, but software, says Laura Kalka, team lead marketing at b-plus, with functions, performance characteristics, and even user experience increasingly shaped by code.

This shift is more than a technological upgrade. It represents a structural realignment of the entire industry. Vehicles are turning from static, finished products into dynamic platforms that continue to evolve long after leaving the production line.

Continue reading OPINION: How the software-defined vehicle is redefining development at ADAS & Autonomous Vehicle International.

Safety plays a critical role in autonomous vehicle deployment. Any incident involving an AV is likely to attract the attention of luddites and click-seeking commentators. But while people expect machines to perform flawlessly, exceeding mere human limitations, current AV sensor systems cannot satisfy those expectations. 

Don Wilkins, a retired aerospace systems engineer, challenges these expectations and calls for a rethink of how autonomous systems are developed and evaluated 

Adverse weather such as heavy rain, thick snow and impenetrable fog, and wide variations in lighting can blind AV sensors.

Continue reading OPINION: How V2X communication supports autonomous vehicle development at ADAS & Autonomous Vehicle International.

From K.I.T.T. to the Batmobile and Herbie, driverless cars have long captured our imagination, but reality may soon catch up. By spring 2026, automated vehicles (AVs) could be operating on UK roads. However, meeting the rigorous safety standards needed for deployment is a major challenge. Ross Turnbull, director of business development at application-specific integrated circuit (ASIC) manufacturer Swindon Silicon Systems, explains how ASICs can make AVs safe and road-ready

The UK’s AV Act, passed in May 2024, sets out a landmark framework for the introduction of autonomous vehicles to UK roads. The act establishes a clear safety benchmark, requiring all self-driving cars to achieve a level of safety at least equivalent to that of a competent and careful human driver.

Continue reading Where we’re going, we don’t need drivers at ADAS & Autonomous Vehicle International.

In emergencies, every second counts. When someone is in a critical situation, emergency responders must be able to locate them as fast as possible. In vehicles, automated systems like eCall and V2X can help, but their effectiveness depends on reliable, accurate positioning, explains Jez Ellis-Gray, lead product manager at FocalPoint Positioning

An EU initiative aimed at saving lives by reducing response times to road traffic incidents, eCall, has been mandatory in newly manufactured vehicles since 2019. When a road traffic incident occurs, the eCall system immediately notifies emergency services of the location and details of the incident, potentially halving response times.

Continue reading OPINION: How improving GNSS reliability supports NG-eCall and V2X at ADAS & Autonomous Vehicle International.

As we begin to look ahead to 2026, businesses are uncovering fresh opportunities and continuous challenges – with uncertainty and geopolitical volatility still on the table while technology advances rapidly. In this environment, adaptability has become the new competitive edge. But the companies that lead will be those that combine human insight, digital innovation and operational resilience to navigate the next chapter of global logistics. Here are our five predictions for the year ahead

1) AI – from hype to data-driven collaboration

The industry’s relationship with artificial intelligence (AI) is maturing. The shift has moved from experimentation to real adoption, with the gap between small and mid-sized companies shrinking as AI makes technology more accessible to all.

Continue reading Transportation in 2026: from experimentation to acceleration at ADAS & Autonomous Vehicle International.

Autonomous vehicles — including robotaxis, commercial trucks and other variations — have been rapidly emerging on American roads. For years, federal regulators have sought to ensure these vehicles operate safely without hindering innovation. Recent months have seen an acceleration of those efforts, according to Adam Raviv, former chief counsel at the National Highway Traffic Safety Administration (NHTSA), who now co-leads the Automotive and Mobility practice at global law firm Sidley Austin, where he focuses on regulatory matters and dispute resolution. 

Both during the last administration and in the opening months of the new one, the federal auto regulator, the National Highway Traffic Safety Administration (NHTSA), has made numerous policy announcements on autonomous vehicles.

Continue reading Federal autonomous vehicle policy: small steps toward a national framework at ADAS & Autonomous Vehicle International.

The term urban canyon was inspired by New York’s Canyon of Heroes, a stretch of Lower Broadway where tall buildings line the streets like a canyon. These human-built canyons can confuse global navigation satellite system (GNSS) receivers, making it hard to accurately calculate a vehicle’s position. For autonomous cars, that’s not just inconvenient — it’s a major safety issue. However, Manuel Del Castillo, VP business development at Focal Point Positioning, explains that with the right technology, the automotive world can close these urban canyons 

On open roads with a clear view of the sky, satellite navigation can be remarkably accurate.

Continue reading OPINION: How smarter GNSS tech can close the urban canyon at ADAS & Autonomous Vehicle International.

Deep learning models promise to deliver higher precision at much lower computational engine loads. The success of deep learning models has outperformed the conventional computer vision models, which heavily relied on human-induced manual feature extraction. There is a conclusion that deep learning-based predictors are delivering human-like perception levels. The advancements in GPU and TPU technologies and accurate data annotation in autonomous driving have made it possible to train deep learning models to act autonomously for ADAS to achieve more robust and accurate levels. However, memory and edge computational engine loads need to be increased for a successful deployment of a deep learning-based system.

Continue reading Deep learning for perception: how deep learning in perception can lead to more robust and accurate ADAS and AV systems at ADAS & Autonomous Vehicle International.