Toyota has accelerated its ‘Green Wave Project’ commemorating this year’s environment month. It is aimed at enhancing its nature conservation activity in the community with the company distributing saplings to its employees, under its sixth challenge that is termed as ‘Establishing a Future Society in Harmony with Nature’ and looks to contribute to the Toyota Environmental Challenge 2050. 

While the eco campaign continues to drive active community involvement to promote greenery, through employee engagement, Toyota Kirloskar Motor (TKM) has successfully distributed over 7000 saplings to its employees, marking significant progress towards its 8,000-sapling target set under its plantation activity. 

With TKM employees encouraged to plant and nurture the distributed saplings within their neighbourhoods and submit periodic reports on plant growth, the it is noteworthy to mention about Toyota’s tree plantation activities that are strongly driven by adopting a unique concept namely the ‘Miyawaki Method of Afforestation’ since 2009, and TKM was the first corporate in India to implement such plantation methodology. TKM’s steadfast commitment to sustainability and ecological restoration is yielding remarkable results, as evidenced by the numerous advantages of the Miyawaki approach. A comprehensive study conducted in collaboration with experts from Bangalore University revealed that the Miyawaki method excels in carbon sequestration, capturing an impressive 30.86 tonnes of carbon per acre.

By doing so, TKM not only restored native habitats but also created self-sustaining ecosystem that contribute to a healthier planet. Under the guidance of Late Dr Akira Miyawaki himself, TKM initiated its maiden Miyawaki plantation drive, way back in 2009, marking a significant milestone in its journey towards conservation of greenery and eco-consciousness. Since that momentous day, TKM's plantation drives have continued to evolve and expanded to 112 acres of green cover within the factory premises, out of which 32 acres of afforestation has been developed using Miyawaki method. Today, Toyota’s manufacturing facility, located in Bidadi (on the outskirts of Bengaluru) proudly boasts more than 328,000 trees of over 790 native species planted within its premises. The results have been truly awe-inspiring with a remarkable increase in biodiversity observed over the years. 

From a mere 181 plant species, the count has surged to an impressive 790, while the number of faunal species has risen from 76 to 284. The vibrant ecosystem now encompasses 88 bird varieties, 38 butterfly species, 107 insects, 17 reptiles, 8 mammals, and 6 amphibians, reflecting the successful development of a thriving native forest ecosystem.

In addition, TKM has created an experiential environmental learning centre ‘Ecozone’ (spread across 25 acres with 17 theme parks and home to 65,000 trees with 650 native species) for children, teachers, community members and other stakeholders, within its manufacturing facility aimed at creating the environment leaders and change champions for the future, to usher in desired behavioural change in the communities. This green zone depicts the creation of dense forest within the plant facility using the ‘Miyawaki Concept’ of plantation. The forests are dominantly planted with species of 4 major forest types such as Dry Deciduous, Moist Deciduous, Semi-evergreen and Evergreen Forest, covering 21 different sub-concepts such as Pollination meadows, herbal garden, plants for spices etc. So far, more than 42,000+ students & other stakeholders have been covered through ecozone initiative.

B Padmanabha, Executive Vice President and Director of Manufacturing - Toyota Kirloskar Motor, averred, “At Toyota Kirloskar Motor, we recognise that environmental and social sustainability are just as crucial as economic progression. Guided by Toyota’s Global Environmental Challenge 2050 (six challenges announced in 2015), our sustainability efforts are far reaching that go beyond product zero emissions. While the first three challenges seek to achieve zero carbon emissions covering the entire life cycle of our products, across manufacturing operations as well as our value chain, the last three challenges focus to achieve water conservation, establishing recycled based society and living in harmony with nature.”

“We believe that a sustainable future is built through collective action and community involvement, as exemplified by one of our eco initiatives - Green Wave Program that covers afforestation (plantation drives, distribution of saplings), sharing best practices (e.g. Miyawaki plantation methodology), creating awareness on nature conservation and imbibing good eco behaviour (Toyota Ecozone – Experiential Eco Learning). Together with our employees and other stakeholders, we aim to catalyse positive change in the community to safeguard the environment to the future,” he added. 

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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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