Mercedes-Benz R&D India (MBRDI), founded in 1996 in Bengaluru to support Daimler’s research, IT and product development activities, is now one of the largest global R&D centres outside Germany, employing close to 5000 skilled engineers and a valuable centre to all business units and brands of Daimler worldwide. The centre is also a key entity for Daimler’s future mobility solutions through C.A.S.E (Connected, Autonomous, Shared and Electric) for building autonomous and electric vehicles. The centre’s competencies in engineering and IT have progressed to using AI, AR, Big Data Analytics and other modern technologies to provide seamless connectivity. During an interaction with T Murrali, the Managing Director and CEO of MBRDI, Manu Saale, said, “The centre has been growing phenomenally. We have just started a team on cyber security. . . We have been helping to simulate some stack- related solutions using fuel cells. I’m waiting for a clear strategy from the company for a possible venture into the hydrogen path.”  Edited excerpts:

Q: You could begin with detailing the contribution of MBRDI to the Experimental Safety Vehicle (ESF)?

Saale: The ESF is a concept vehicle. We have taken a GLE platform and tried to predict technologies that are coming up and put its demo version inside. Some of them are just future technologies but they are strictly based on the data we have collected, and the accident research and digital trends that we have seen.

There is a worldwide safety theme, centred in Germany and India, which is studying all these data and statistics to predict how the future should look like. Mercedes-Benz has a history of building concept cars as mobility is changing around us. This time we have decided to put safety in perspective for the new age mobility with ESF2019. This time we have decided to put safety in perspective for the new age mobility.

For example, in a driverless car there is no steering wheel, so where will you put the air bags as it has been placed in the steering wheel. This means that the airbag concept will have to change. If you go white-boarding on this topic you will realise that some fundamental things you have been counting on all these years will change. This international team in Bengaluru supporting Germany has been working on many of these kind of concepts.

We have brought it here for two reasons. One is for the contribution from India. A lot of digital simulations have been done before implementing the hardware. Bengaluru has contributed to the digital evaluation of the new safety concepts in ESF. The other reason is to inspire the engineers to innovate further based on the first level of fantasies that we have created, and how it could be taken to the next level. These are the kind of things we want our engineers to think about; ESF is a pointer in that direction.

Q: What are the possible changes with the emergence of EVs and autonomous vehicles for safety?

Saale: Imagine not being able to predict the position of passengers when a crash happens. If they are sitting in a conference mode, facing one another other, how can they be protected without an airbag in their front? That’s one; second is the use of different materials within the car and the dynamics that could happen in an accident. Third is connection to the source of a fuel tank / pack, not specific to one place but probably spread across the floor of a car. The battery and its chemical components are also critical in a crash situation.

There are many new things when we think about safety in autonomous and electric vehicles; whereas connectivity plays into our hands. I don’t think the industry has exhaustively thought about what new dimensions can come from driving autonomous vehicles.

Q: What happens if the accident is so severe that all the electrical connections are cut off? Has any thought gone into this?

Saale: I am sure they have thought about it. An airbag can pop up in milliseconds; an SOS is message placed post crash. Today, in an instant, we can ping the world somehow, so information of position, latitude, etc is sent out immediately when an accident takes place. Of course it depends a lot on the emergency services and collision response in the country.

Q: What is the role played by MBRDI in the development of Artificial Intelligence (AI) and Augmented Reality (AR)? 

Saale: This is the new age digital; we don’t have to go back to the old world of software alone. Digital has shown new potential in the last few years and we have tried to keep pace with the current trends. AI is certainly one of the buzz words that is coming up.

MBUX, which we flagged off in Bengaluru a few weeks ago, showcases how AI could be used as a technology to make customer life easier in the car. We look at all the use cases to find out what the customer does in a car.

For example, use of camera in a car. During night driving if the driver extends his hand to the vacant seat next to him looking for something, and if it is dark, the camera will sense that he is seeking something and switch on the lights. We need AI for that because we have to understand the hand position and the amount of stretch done; it should not be confused with the driver stretching himself after yawning. Such a simple use case requires a lot of technology. These are things where people look at customer behaviour and say ‘technology is not for the sake of technology but to make customer life easier.’

Q: The Tier-1 companies spread across Germany have come up with many futuristic solutions for vehicles. They have their own research centres. So what is the role of R&D centres of OEMs like this other than integration?

Saale: Every centre has to ride its own destiny. Even if we are a GIC we cannot expect HQ to hold our hand for ever. It’s a typical parent-child relationship and not a customer-supplier one. We have seen all the combinations of GICs working out there in the market. I think we have a good success story here. That is the value-add GIC has to think about.

A survey was done on the value-add from GICs; they used the word entrepreneurship from GICs. It was found that only 6 percent of GICs were entrepreneurial, that were really able to innovate. We were also named in that top 6 percent. It depends on the company culture, relationships, handling discussions with HQ and the local leadership teams. That’s the challenge in a GIC compared to a profit centre that is looking from one customer to another.

Q: You are also in touch with suppliers in India and across the globe for necessary hand-holding?

Saale: Absolutely, imagine a situation where the parents trust the child completely.

Q: You will be the parent and Tier-1s the children?

Saale: No, it is not that way. We behave as Daimler when we talk to Tier-1s. We tell them that ‘you know the car well, so do it by yourself and deliver the product.’ That’s the level of maturity in interaction that one can reach.

Q: When it comes to electronics, OEMs the world over are faced with many regulations. Do you see options for them to comply with all the regulations considering the amount of electronics coming into the car?

Saale: Every new thing is a technical challenge on the table. It can be stricter emission norms or features and functionalities that are difficult to reach, a technical compliance issue that crops up every now and then, and a safety or parking aspect that is covered by many regulations around the world. We thrive on such challenges that have pushed a company like Mercedes to keep on inventing because, among many other things, hardware is getting cheaper and smaller, software capabilities are growing, connectivity is increasing, computing external to the car is possible, and so many other things. OEMs are dealing with authorities, trying to handle what is possible at lower cost, because at the end of the day we have to sell. I am sure that regulators and societies around the world today are looking for some balance between technology and cost.

Q: How do you manage multiple sensors in the vehicle?

Saale: Digital appears to be very complex now but electronics will go through its life cycle and come to a point where man understands its complexity and is able to put it all together. Today, we are talking about sensor fusion - putting together the net of information and seeing it as a whole through various sensors.

Functionalities could range from a switch to radar or lidar with their spectrum of signals, to give various resolutions; the processing capability would be in milliseconds. The more we comprehend the mixed bag of signals we get the better will be our ability to make right decisions.     

Q: With all the facilities that you provide to the driver, are you not actually deskilling him?

Saale: The trend is that people don’t want to get into the hassles of driving a vehicle. Driving is stressful and cumbersome to many which is why the autonomous car would gain popularity. The driver has to just punch in where he/she has to go and the vehicle will do it automatically, saving both mental and physical tension. A completely new user base is being introduced into mobility with software features. We have to look at it positively.

Q: Are you also working on cyber security, on things that get into the car?

Saale: We have just started a team now. Our focus on cyber security is at a centre in Tel Avi, Israel.

Q: Do you see scope to improve the thermal efficiency of Internal Combustion (IC) engines further?

Saale: I think the capability, from an engineering perspective, exists to take the IC engine to the next level. The potential continues to be there and all OEMs talk about it. Possibly it is getting affected by the social and environmental aspects.

Q: It is said that the exhaust from a Euro-6 engine is far better than the atmospheric air in many highly polluted cities and it is not actually polluting. What is your opinion?

Saale: It is true. But people say if electricity is generated from coal then aren’t we contributing to pollution? If we localise electric production to one area with everything contained then it would give us better scope to control it rather than spewing it out of every vehicle tail-pipe in all over the world.

Imagine millions of polluting vehicles moving around compared to millions of electric, which don’t have any tail-pipe emissions, with electricity generated by coal that is centralised; it would be a completely different technical and logistic challenge from the environmental point of view. Regulators, politicians and policy makers are all giving their views on this issue; the improvement in living standards and the coming up of smart cities would affect it. I think we are moving in the right direction with the greening of the environment covering everything. I see this sustainable city living much better pictured with electric moving around me.

Q: Can you tell us about the work done around IoT?

Saale: We are working on digitalisation of our production in many ways. One of the teams for Manufacturing Engineering in Bengaluru focuses on digital methods in manufacturing such as production planning, supply chain, logistics and IoT. The team also works on front-loading of production planning.

Q: What is your contribution to the Sprinter F-CELL, the fuel cell application, that replaced the diesel engine?

Saale:  We have been helping to simulate some stack- related solutions using fuel cells. I’m waiting for a clear strategy from the company for a possible venture into the hydrogen path. (MT)

Delhi NCR-headquartered electric vehicle company Omega Seiki Mobility (OSM) has partnered Electra AI to integrate battery health monitoring across its fleet operations.

The collaboration incorporates Electra AI’s analytics platform into OSM’s electric commercial vehicles. The technology enables real-time tracking, predictive maintenance and state-of-health diagnostics for battery packs. The data metrics aim to support warranty management, optimise vehicle uptime, assist financing assessments and provide residual value tracking for secondary market sales.

Uday Narang, Founder and Chairman, Omega Seiki Mobility, said, "The next phase of EV growth in India will not be driven solely by new vehicle sales, but by the creation of a credible and thriving secondary market. Battery health is the single biggest determinant of an EV's residual value, and until that can be measured transparently, the used EV market will remain constrained. Through our partnership with Electra AI, we are bringing unprecedented visibility into battery performance, enabling buyers, financiers, and fleet operators to make informed decisions with confidence. This will help improve resale values, unlock greater access to financing, and accelerate the adoption of electric mobility by ensuring that EVs remain valuable assets throughout their lifecycle."

Vivek Dhawan, Chief Strategy Officer, Omega Seiki Mobility, said, “As electric mobility scales, the industry must move beyond selling vehicles and focus on delivering intelligence that improves asset performance throughout its life. By integrating Electra AI's advanced analytics into our ecosystem, we will gain deeper operational insights that help enhance fleet productivity, reduce unplanned downtime, strengthen warranty management, and support data-driven product development. This collaboration represents an important step towards building a smarter, more efficient, and technology-led mobility ecosystem that creates tangible value for customers, partners, and stakeholders alike."

Fabrizio Martini, Co-Founder and Chief Executive Officer, Electra AI, stated: “Vehicle makers like OSM are being asked to put more capable, more affordable EVs on the road every year — and to stand behind them with confidence. Our AI Brain for Batteries platform gives them the real-world intelligence to do exactly that: design better vehicles, offer stronger assurance to their customers, and keep fleets running. That’s what battery intelligence is for — turning data into trust across the whole ecosystem, from the OEM to the financier to the operator.”

The deployment aims to support commercial fleet operators across India by reducing maintenance delays and improving total cost of ownership visibility.

Hyundai Motor India, in partnership with Radio Mirchi, has launched the Hyundai Traffic Quality Index, a standardised traffic rating framework designed to convey real-time road conditions across seven major Indian cities. The initiative operates across Delhi, Mumbai, Bengaluru, Chennai, Hyderabad, Pune and Kolkata.

The system translates live traffic inputs, on-ground reports and official traffic police advisories into a numerical scale from 1 to 10. The ratings are categorised into three colour-coded tiers: 1 to 3 represented in green for light traffic, 4 to 7 in yellow for moderate traffic and 8 to 10 in red for heavy congestion. Updates are broadcast over Radio Mirchi’s audio network to inform drivers during commutes without requiring direct interaction with mobile devices.

The system processes real-time location data alongside updates regarding road closures, diversions, and civic works. Hyundai Motor India and Radio Mirchi plan to expand the index to additional urban centres in subsequent phases of the project.

Virat Khullar, Head of Marketing, Hyundai Motor India, said, “At Hyundai, our commitment to road safety has always extended beyond the vehicle itself. For over three decades in India, we have continuously invested in technologies and initiatives that make mobility safer and smarter. With the Hyundai Traffic Quality Index, we are taking that commitment a step further by empowering commuters with actionable information. We believe informed and technology enabled decisions lead to safer roads, calmer driving behaviour and better commuting experience. Our vision is for Hyundai Traffic Quality Index to evolve into a daily utility that millions of Indians rely on, much like they check the weather or the Air Quality Index before stepping out.”

Yatish Mehrishi, Chief Executive Officer, ENIL, said, “Radio has always been a trusted companion for people on the move. With the Traffic Quality Index, we are taking that relationship a step further by making traffic information simpler, more consistent and more useful for everyday commuters. Our presence across cities, supported by our RJs, on-ground teams and real-time local insights, gives us a unique understanding of how people experience their daily commute. TQI brings these insights together in an easy-to-understand format that can help people make better decisions on the road. We are delighted to partner with Hyundai to build a public utility that can make urban commuting smarter and safer. It is a strong example of how media, technology and local intelligence can come together to solve an everyday consumer need.”

ACP Ravindra Pandit of Delhi Traffic Police, added, “The Hyundai Traffic Quality Index is a commendable initiative that empowers us to keep commuters informed about congestion, diversions, and other traffic-related issues on specific routes. By receiving timely and accurate updates, motorists can make informed decisions and opt for alternate routes, reducing inconvenience and easing congestion. Timely dissemination of reliable traffic information benefits both the public and traffic authorities, making overall traffic management more efficient and commuter-friendly.”

Anil Patil, Regional Transport Officer for Mumbai West, commented, “Understanding and managing traffic more effectively has become increasingly important today. TQI will help us better understand traffic conditions, improve awareness among citizens, and provide valuable support in making traffic management more efficient.”

IPS Manoj Patil, Additional Commissioner of Police for Pune City, said, “Traffic Quality Index can give the traffic police a different kind of study and analysis. Especially because it will include inputs and suggestions coming directly from citizens. So, we will get an independent understanding of the actual traffic situation. I feel this can be extremely useful for us while planning future traffic management as well as infrastructure projects. So, I really welcome this initiative If we are able to measure the traffic quality index in this manner, it will definitely have an overall impact on our deployment and the way we manage traffic.”

Dr B. Shamoondeswari, Additional Commissioner of Police (Traffic) for Greater Chennai Police, said: “Just like AQI helps us understand air quality, TQI will help us understand traffic quality. It’s a great initiative that can make people more aware, help manage congestion, and contribute towards smoother traffic movement in our cities.”

ACP A. Krishnaiah of LB Nagar Traffic Police in Hyderabad noted: “The Hyundai Traffic Quality Index is a valuable initiative that helps commuters stay updated on traffic congestion, diversions, and other route-related issues. Access to timely and reliable traffic information enables motorists to plan their journeys better and choose alternative routes when required. This not only reduces travel inconvenience but also helps ease traffic congestion. Overall, the initiative supports both commuters and traffic authorities by making traffic management more effective, responsive, and commuter-friendly.”

Open-source autonomous driving software company TIER IV has joined the Next-Generation Edge AI Semiconductor Research and Development Programme, led by the Japan Science and Technology Agency (JST). The initiative focuses on the development of a software-defined system-on-chip (SoC) designed for Level 4 autonomous driving applications.

As part of the programme, a team led by Professor Yoshihiro Kawahara at the University of Tokyo is researching physical AI chip design based on specific use cases. Concurrently, TIER IV is developing the logic design for an AI chip aimed at processing inference for end-to-end autonomous driving systems. TIER IV plans to open-source the resulting logic design, compiler, and software toolchain to allow semiconductor manufacturers and developers to modify and build upon the hardware architecture.

The project focuses on developing hardware architectures tailored for Transformer AI models, which process sensor data from cameras and point clouds for perception and motion planning.

The chip design incorporates dedicated circuits for matrix multiplication and attention mechanisms, aiming to reduce power consumption from external memory transfers. To maintain software adaptability, TIER IV is integrating the Tensor Operator Set Architecture (TOSA) as an intermediate representation layer between AI frameworks such as PyTorch and the chip hardware.

The initiative also applies formal verification techniques to mathematically trace numerical consistency during AI model compilation.

Shinpei Kato, Founder and Chief Executive Officer, TIER IV, said, “Advances in AI have been accelerated by powerful computing platforms, including GPUs, which have enabled rapid progress across the industry. As Level 4 autonomous driving moves toward broader deployment, we believe the next step is to complement these platforms with computing architectures designed for real-world and real-time requirements. Through this initiative, we are introducing a software-defined and open approach to AI chip design that combines power efficiency, adaptability, transparency and verifiability. In particular, the ability to understand how an AI model is transformed for execution and to verify the correctness of that processing will be increasingly important as autonomous driving systems are deployed in safety-critical environments. By extending the open-source philosophy behind Autoware from software to AI chip design and related toolchains, we aim to create an open ecosystem in which automakers, semiconductor manufacturers and developers can build upon the technology and continue advancing their own systems. This represents an important step toward a scalable, adaptable and reliable computing foundation for Level 4 autonomous driving.”

Professor Yoshihiro Kawahara stated, “In physical AI applications such as robotics and autonomous driving, GPU power consumption has long been a major bottleneck for deployment on battery-powered devices. This project aims to fundamentally overcome this constraint through a functionally differentiated chip design backward-mapped from specific use cases. I look forward to TIER IV developing chips responsible for high-level decision-making – specifically, the high-level behavioural layer that handles the thinking process essential for end-to-end physical AI and autonomous driving. As the leading force behind Autoware, the global standard open-source software for autonomous driving, TIER IV is democratising design, with an approach spanning application requirements to hardware. This enables applied researchers to shape their ideal semiconductors. This initiative, supported by an open ecosystem, has the potential to lay the foundations for a steady stream of Japanese startups creating high-value semiconductors.”

American automotive supplier Stoneridge, Inc. has announced details of its EVO ECU Platform, which will debut at IAA Transportation 2026 in Hanover, Germany.

The electronic control unit (ECU) is engineered for commercial vehicles, buses, coaches and off-highway applications to consolidate system architecture and support software-defined capabilities.

The platform replaces multiple individual control units with a centralised processing architecture designed to manage vehicle data, enable remote software updates and facilitate diagnostics.

The ECU is developed in collaboration with technology partner Renesas Electronics using its R-Car system-on-chip technology and the hardware is built to withstand operating conditions involving temperature variations, vibration and dust exposure.

Christian Leblanc, Global Vice-President of Product and Project Management, Stoneridge, said, “Commercial vehicles are becoming increasingly connected and intelligent, but traditional vehicle architectures were not designed to support the pace of innovation happening today. EVO provides a scalable platform that helps simplify integration, improve vehicle performance and give our customers the flexibility they need to adapt as technology continues to evolve.”

“Fleet customers were at the centre of our development process. EVO helps enable faster troubleshooting, fewer service interruptions and the ability to continuously improve vehicle capabilities throughout the vehicle lifecycle,” added Leblanc.

The software structure was developed alongside Green Hills Software to segregate safety-critical operations while allowing system updates. Additionally, Stoneridge partnered with indie Semiconductor to produce the platform's image processor, supporting camera integration and driver assistance systems.

Natalia Noblet, President and CEO, Stoneridge, said, “Our industry is undergoing a significant transformation, driven by increasing connectivity, automation and evolving regulatory requirements. EVO represents our commitment to helping customers navigate that transformation with a flexible platform designed to support innovation today and tomorrow.”

Aish Dubey, Vice-President and Head of the HPC SoC Division, Renesas Electronics, commented, “Stoneridge’s EVO ECU Platform demonstrates how commercial-vehicle manufacturers can modernise vehicle electronics for demanding operating environments. Our collaboration brings together Stoneridge’s commercial-vehicle expertise and Renesas’ R-Car system-on-chip, power-management and programmable mixed-signal technologies to create a scalable, automotive-grade foundation for connected and software-defined commercial vehicles.”

The system has undergone field testing within the Stoneridge Innovation Truck demonstrator vehicle, which will be exhibited alongside the platform at the Hanover trade show.