Chinese-owned Swedish automotive major Volvo Cars has unveiled a new multi-adaptive safety belt, which it claims is a world-first technology aimed to further enhance safety for everyone in real-world traffic situations. The multi-adaptive safety belt is set to debut in Volvo EX60 in 2026, the company’s fully electric offering. It uses real-time data from the cars advanced sensors to adapt to traffic variations and the user wearing the seatbelt.

Based on the data input from interior and exterior sensors the seatbelt provides customised protection, adapting the setting based on the situation and individual’s profiles, such as their height, weight, body shape and seating position. For example, a larger occupant in a serious crash will receive a higher belt load setting to help reduce the risk of head injury. While a smaller occupant in a milder crash will receive a lower belt load setting to reduce the risk of rib fractures. Using over-the-air software updates, it gets better over time.

Asa Haglund, Head of Volvo Cars Safety Centre, said, “The world's first multi-adaptive safety belt is another milestone for automotive safety and a great example of how we leverage real-time data with the ambition to help save millions of more lives. This marks a major upgrade to the modern three-point safety belt, a Volvo invention introduced in 1959, estimated to have saved over a million lives.”

The Swedish carmaker stated that modern safety belts use load limiters to control how much force the safety belt applies on the human body during a crash. This new safety belt expands the load-limiting profiles from three to 11 and increases the possible number of settings, enabling it to optimise performance for each situation and individual. Unlike traditional systems, the new multi-adaptive safety belt can utilise data from different sensors, including exterior, interior and crash sensors. In less than a blink of an eye, the car’s system analyses the unique characteristics of a crash – such as direction, speed and passenger posture – and shares that information with the safety belt. Based on this data, the system selects the most appropriate setting.

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Bosch and Qualcomm Technologies, Inc. have announced an expansion of their strategic collaboration to include Advanced Driver Assistance Systems (ADAS). This move builds upon their established partnership in cockpit solutions and aims to address the automotive industry's requirement for scalable technology in automated and connected vehicles.

Bosch stated it has now delivered more than 10 million vehicle computers globally using Qualcomm’s Snapdragon Cockpit Platforms.

The extended agreement includes new production programmes for ADAS that utilise Bosch’s vehicle computer architecture powered by the Snapdragon Ride platform. A central component of this collaboration is the development of platforms that combine cockpit and ADAS functions on a single system-on-chip (SoC).

This integration is designed to align with the strategic shift towards software-defined vehicles, allowing automakers to reduce architectural complexity, power consumption, and manufacturing costs.

The Bosch ADAS integration platform is designed as a modular computer capable of fusing data from multiple sensors to create a 360-degree environment model. This system supports a range of functions from entry-level assistance, such as lane keeping and distance regulation, to higher-level automated driving. The joint engineering efforts have already secured several design wins in the East Asian market, with the first vehicles featuring these consolidated platforms expected to enter the market in 2028.

By migrating from numerous individual control units to a small number of high-performance computers, the partnership provides a path toward centralised vehicle architectures.

These solutions are engineered to meet safety standards up to ASIL-D while enabling consumer features such as hands-free driving and intelligent automated parking across various vehicle segments.

Christoph Hartung, Member of the Bosch Mobility business sector board, said, “By combining leading-edge compute technology with our system integration expertise – hardware, software, and safety – we enable automakers to meet the rising demand for personalised, safe and comfortable driving experiences. The growing success of our collaboration with Qualcomm Technologies underlines a central value Bosch brings to the industry: we provide the robust, high-performance computing platforms that form the backbone of today’s software-defined vehicle.”

Nakul Duggal, EVP and Group GM, Automotive, Industrial and Embedded IoT, and Robotics, Qualcomm Technologies, said, “Our collaboration with Bosch spans the full spectrum of vehicle compute – from high‑performance cockpit systems to scalable automated driving solutions and emerging centralised vehicle architectures – all powered by Snapdragon Digital Chassis automotive platforms. ADAS is where performance and safety must scale in the real world. By expanding our work with Bosch into production-ready ADAS platforms, we’re helping automakers bring advanced driver assistance across vehicle lines more efficiently, with a clear path to centralised compute.”

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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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