In an attempt to incorporate tyre intelligence into the programming of autonomous heavy equipment vehicles, the Goodyear Tire & Rubber Company and the pioneer in autonomous heavy equipment SafeAI, has established a strategic relationship. Through an integration with the SafeAI autonomous ecosystem, the companies will exchange site data for protecting tyre health, eliminate downtime and contribute to a smarter, safer standard for the construction industry. Tyre intelligence from Goodyear's TPMS Heavy Duty rim-mounted sensors will be deployed at an active construction site in Cupertino, Calif.

With this collaboration, Goodyear will outfit a Caterpillar 725, retrofitted with SafeAI's autonomous software, to capture pressure and temperature data and monitor overall tire health. These sensors can identify and communicate adverse conditions before they cause maintenance issues and derail a project.

Traditional construction and mining sites are rife with inefficiencies, fueled in large part by costly unplanned downtime rates as high as 20-30%, resulting in missed timelines and increased budget – and COVID-19 is exacerbating these challenges. Tire intelligence can help mitigate these challenges by identifying early or potential problems, such as underinflation, before they cause unexpected delays – bolstering efficiency, safety and return on investment.

"No matter the vehicle – automobile, freight truck or dump truck – tyre intelligence can help elevate the safety, performance and efficiency," said Chris Helsel, Goodyear Senior Vice President and Chief Technology Officer. "Through our work with SafeAI, we will not only empower site operators with greater visibility and efficiency but also gain invaluable performance data to inform our future innovation in autonomy and heavy equipment."

"Goodyear has been at the forefront of tyre innovation for more than one hundred years. Today, we're proud to join forces to take on a new frontier: tyre intelligence for autonomous heavy equipment," said Bibrajit Halder, founder & CEO at SafeAI. "At SafeAI, we strongly believe in a collaborative approach to deploying autonomy in construction and mining, at scale. We have purpose-built an interoperable autonomous technology that enables us to work with industry leaders like Goodyear and set the standard for autonomous heavy equipment." (MT) 

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Toyota Kirloskar Motor (TKM) has signed a Memorandum of Understanding (MoU) with Wipro 3D to create a Centre of Excellence (CoE) for additive manufacturing. The facility will be located at the Toyota Technical Training Institute (TTTI) in Bidadi, Bengaluru. The partnership is intended to facilitate skill development and the integration of 3D printing technologies into production environments.

The centre will provide students with exposure to industrial applications of additive manufacturing, including rapid prototyping and the development of production aids. Wipro 3D will provide technical expertise and training modules covering internships, apprenticeships and workshops. The curriculum will also incorporate digital manufacturing and resource optimisation as part of an emphasis on Industry 4.0 technologies.

By leveraging these manufacturing capabilities, the initiative aims to reduce lead times and improve assembly line efficiency. The TTTI, which focuses on vocational education in trades such as mechatronics and welding, doubled its intake to 2,400 students in 2023. This collaboration aligns with the institution's objective to build technical talent for the automotive sector.

G Shankara, Chief Strategy Officer, Toyota Kirloskar Motor, said, "Our Human Resource Development philosophy at TKM follows core principles of Toyota such as, Continue the Quest for Improvement, Show Respect for People, under which we thrive hard to develop individuals in the Latest Technology of the New Age Era of automotive field. We are also committed to nurturing skilled talent and strengthening India’s manufacturing ecosystem. This collaboration will play an imperative role in nurturing future-ready talent, while contributing meaningfully to the Government’s Skill India Mission.”

Yathiraj Kasal, Business Head and General Manager, Wipro 3D, added, “This association reflects our commitment to strengthening India’s manufacturing ecosystem through capability building and innovation, while creating industry-relevant learning experiences.”

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TomTom has introduced Unified Speed Restrictions, a new service providing updated speed limit data for global regulatory compliance and Advanced Driver Assistance Systems (ADAS). The service is designed to help vehicle manufacturers exceed the minimum requirements of Intelligent Speed Assistance (ISA) regulations.

The service integrates multiple static and live data sources into a single output. By combining various inputs, the system provides continuous updates to vehicle software to ensure speed limit identification remains accurate across different driving environments.

Data sources utilised include:

• Unsigned speed limits: Based on regional road classifications.
• Roadside sign recognition: Camera-based detection of physical signs.
• Probe data: Aggregated information from connected vehicles.
• Variable speed limits: Real-time data from electronic overhead gantries.

Beyond safety compliance, the service supports automated driving functions by providing data for predictive path planning and smoother vehicle manoeuvres.

The solution is available as an API or pre-integrated within the TomTom ADAS SDK. The SDK is modular, allowing manufacturers and Tier 1 suppliers to incorporate the data into existing software stacks without vendor lock-in. This architecture is intended to reduce development costs and accelerate the deployment of predictive assistance features.

Manuela Locarno Ajayi, SVP of Product Engineering, TomTom, said, “Accurate and trusted speed information is foundational to road safety, regulatory compliance and automated driving at scale. With Unified Speed Restrictions, we are equipping automakers with a globally consistent, future‑ready foundation that reduces complexity, enabling higher levels of automation.”

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Detroit Engineered Products (DEP) has introduced DEP AIWorks, an engineering platform designed to integrate machine learning with physics-based simulation. The launch follows the conclusion of a five-city industry conclave held across Bengaluru, Delhi NCR, Hyderabad, Pune and Chennai.

DEP AIWorks is built as a physics-agnostic and tool-agnostic environment, allowing it to function across various datasets and engineering domains. The platform combines neural networks and physics-informed models with computer-aided engineering (CAE) solvers to provide predictive and generative capabilities within the product development lifecycle.

Core features of the platform include modular architecture, operational speed and ecosystem compatibility.

The platform is intended for use in the automotive, aerospace, energy, manufacturing and telecommunications sectors. It supports various stages of development, from early design exploration to manufacturing validation. By utilising data-driven learning alongside physics-based validation, the system aims to improve engineering productivity and accelerate decision-making cycles.

Radha Krishnan, President & Founder, DEP, said, “DEP AIWorks reflects the next step in how engineering organisations will adopt AI, not as a standalone tool, but as an integrated part of the product development lifecycle. By combining decades of simulation expertise with advances in AI, we are enabling teams to move faster while maintaining engineering rigor and reliability.”

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German tier 1 supplier ZF has introduced SolarBoost, a retrofittable solar panel system designed to support the 24-volt on-board electrical systems of city buses and coaches. The technology generates electricity during vehicle operation to recharge batteries, intended to reduce fuel consumption and maintenance requirements for fleet operators.

The system reduces the load on the drive engine by providing an alternative power source for on-board systems, which are traditionally supplied by the alternator. According to ZF, the additional energy can reduce fuel consumption by up to 3.5 percent, depending on weather conditions and application profiles.

The company states that key benefits for operators include battery longevity, as continuous recharging extends battery life. ZF reports potential savings equivalent to one battery per vehicle per year.

Furthermore, it enhances uptime by reduced requirement for stationary battery recharges and lower maintenance frequency. The system includes Bluetooth connectivity, allowing operators to track energy generation in real-time via a mobile application.

SolarBoost utilises a plug-and-play architecture designed for installation in an operator's own workshop using standard tools. The process does not require drilling into the vehicle structure or extensive rewiring, allowing for fleet-wide scaling with minimal disruption to service.

The hardware is engineered to withstand vibrations and weather conditions associated with heavy-duty transit. ZF provides a 5-year warranty and repair kits to support the long-term durability of the flexible panels.

The product is positioned as a scalable solution for bus operators to meet environmental targets. By utilizing renewable energy for electrical loads, the system assists in reducing the carbon footprint of intercity and urban transport fleets. It aligns with ZF’s broader strategy to deliver innovations that improve vehicle efficiency while supporting climate-friendly mobility.

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