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)

European ride-hailing platform Bolt has selected the NVIDIA Alpamayo Stack autonomous driving software to operate its vehicle fleet in Europe, starting with Lucid automobiles.

The deployment commences in Madrid in 2027, with subsequent deployment planned in Germany and France. The initiative supports the integration of at least 25,000 Level 4-ready Lucid vehicles equipped with NVIDIA Hyperion compute and sensor architecture. The program contributes to Bolt's objective of deploying 100,000 autonomous vehicles across Europe and the UNECE region by 2035. The system integrates reasoning artificial intelligence with perception and planning modules alongside NVIDIA Halos safety controls.

Jevgeni Kabanov, President and Head of Autonomous Driving, Bolt, said, “Autonomous driving will change how people move around cities, and Europe should play a major role in how that future is built. Our ambition isn't to bring autonomous driving to just a handful of cities. We want to make autonomous ride-hailing available at scale across Europe, with 100,000 vehicles on our platform by 2035. We're bringing together some of the best technologies in the world to make that possible. Following our first autonomous mobility launch in Luxembourg, our next step with NVIDIA and Lucid is to begin a programme in Madrid in 2027. The Region of Madrid is pioneering a structured framework for commercial autonomous mobility in coordination with national authorities. Germany will also be a priority for what comes next, with cities already setting out clear ambitions for autonomous mobility.”

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, “Robotaxis will scale when every vehicle is built on a common, safety-engineered foundation. NVIDIA Hyperion standardises the compute and sensor architecture across vehicle platforms, while NVIDIA Alpamayo Stack and Halos provide the driving intelligence and safety foundation. Bolt’s European platform, operational experience and work with cities and regulators make it a strong partner to bring autonomous ride-hailing to market at scale in Europe.”

French tier 1 supplier Valeo has announced plans to develop and industrialise high-performance compute platforms utilising the NVIDIA Hyperion reference architecture and NVIDIA Halos safety system.

The initiative combines Valeo's vehicle integration capabilities with centralised computing architectures to support software-defined mobility systems. The platform utilises the NVIDIA DRIVE AGX Thor architecture to deliver processing performance and redundancy for Level 4 autonomous driving, commercial trucking and robotaxi applications. The development framework enables automakers to integrate features and deploy autonomous technologies across vehicle models.

Marc Vrecko, Chief Executive Officer, Valeo Brain Division, said, "Our work with NVIDIA marks a significant milestone in our mission to make autonomous driving a safe, scalable reality. By seamlessly integrating NVIDIA’s advanced compute power into our next-generation platforms, we are delivering the flexible, centralised intelligence vehicle manufacturers require to redefine the driving experience and meet the evolving demands of tomorrow’s intelligent vehicles."

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, "Valeo’s expertise in high-performance computing, vehicle integration and automotive-scale industrialisation will help automakers adopt NVIDIA Hyperion and NVIDIA Halos at production scale. Together, NVIDIA and Valeo are providing the AI performance, functional safety and scalability needed to accelerate the development of Level 4 autonomous vehicles and robotaxis."

HCLTech has introduced an artificial intelligence (AI) verification and validation platform utilising NVIDIA simulation tools, agentic systems and open models.

The offering targets vehicle manufacturers and tier-1 suppliers to automate software validation workflows and accelerate release cycles. Built on a simulation-first operating model, the platform connects requirements, test creation, execution, analysis and compliance reporting.

The system integrates HCLTech's engineering expertise and validation model with NVIDIA Omniverse, Cosmos, Alpamayo, NuRec and Isaac Sim technologies to generate scenarios in virtual environments, reducing reliance on physical testing.

Additionally, the platform utilises the NVIDIA Agent Toolkit to orchestrate AI agents powered by Nemotron open models across the validation lifecycle.

Pankaj Tagra, Chief Growth Officer and Global Head of Mobility, HCLTech, said, “Automotive software is evolving faster than traditional validation processes were designed to handle. Frequent software updates, increasingly complex vehicle systems and the need to demonstrate compliance across changing configurations can make validation slow, fragmented and difficult to scale. Powered by NVIDIA, HCLTech’s V&V for Auto is designed to help organisations shift from periodic, labor-intensive testing to continuous, intelligent validation, using simulation and AI to make software release decisions with greater speed and confidence.”

Dr. Sebastian Scheurle, EMEA Industry Lead of Automotive Enterprise, NVIDIA, said, “Validation now sets the pace for software-defined vehicles. With NVIDIA Omniverse, Cosmos and Nemotron at its core, this solution leverages world-class simulation and AI capabilities to support automakers in their journey towards moving more testing into simulation, covering rare and safety-critical scenarios earlier and releasing software with greater confidence.”

HARMAN has received recognition from the AutoTech Breakthrough Awards, marking the fourth consecutive year the company has been honoured by the market intelligence organisation. The Ready Aware platform received the Driver Safety Solution designation for 2026.

Ready Aware operates as a software-defined vehicle-to-network solution that integrates infrastructure feeds, vehicle telemetry, cloud analytics and digital twin data to provide contextual in-vehicle warnings.

The system processes information regarding road conditions, weather, traffic hazards and signal timing to deliver alerts beyond the driver's line of sight. The architecture works with existing 4G and 5G cellular hardware and vehicle cloud environments, enabling automakers to deploy software updates without hardware modifications. The platform supports Euro NCAP compliance requirements and offers over 15 safety use cases, including intersection warnings, red-light notifications and hazard alerts.

Bryan Vaughn, Managing Director, AutoTech Breakthrough, said, “HARMAN Ready Aware is redefining vehicle safety from reactive intervention to proactive awareness. Almost a quarter of U.S. traffic deaths and roughly half of injuries are related to intersections. Cameras and sensors can be limited by physical occlusions and, on their own, may not have access to information about upcoming signal changes or other traffic conditions. Ready Aware’s software-defined model connects the intelligence already present in cities and connected vehicles, then delivers it to the driver as a timely, contextual alert. Ready Aware turns infrastructure data, vehicle telemetry and cloud analytics into actionable driver awareness—available today, scalable tomorrow, and quickly deployable.”

The system uses a cloud analytics and scoring layer named the Confidence Engine to filter data feeds, reduce false alerts and prioritise notifications to minimise distraction. Automakers can integrate the software via client-to-cloud or cloud-to-cloud configurations to support subscription services and feature monetisation.

Suman Sehra, Global Head of Connectivity Product and Portfolio Management, HARMAN, said, “Ready Aware gives automakers a flexible way to move connected vehicle safety from reactive intervention to proactive awareness. By transforming real-time road intelligence into timely, contextual alerts, Ready Aware helps drivers anticipate hazards before they come into view while giving automakers a scalable foundation to continuously enhance safety through software. This recognition reflects HARMAN’s vision for safer, more informed mobility.”