The automotive industry is in the midst of a remarkable transformation, powered by cutting-edge technologies that are reshaping its very foundations. Artificial Intelligence (AI) and Machine Learning (ML) are leading this revolution, driving unprecedented advancements and redefining what is possible in modern vehicles. These technologies help OEMs make their vehicles safer, more efficient and smarter.
From improving advanced driver assistance systems (ADAS) to paving the way for autonomous vehicles, AI and ML are playing a central role in shaping the future of mobility. By integrating deep learning, computer vision and edge computing, companies like Bosch Global Software Technologies (BGSW) advance the capabilities of modern vehicles. AI-based systems support critical functions such as precise object detection, advanced path planning, and real-time decision-making.
Talk to Mobility OutlookSanjeev Gondkar, senior director of technology at BGSW, said these technologies improve vehicle safety through features such as adaptive cruise control, emergency braking and lane departure warnings.
According to him, predictive or prognostic maintenance, another important application of AI and ML, allows vehicles to monitor their health and predict potential problems before they lead to breakdowns. This not only improves reliability but also reduces maintenance costs, ensuring a smooth driving experience. BGSW’s commitment to AI and ML is evident in its approach to creating safer, smarter and more personalized vehicles, pushing the boundaries of what automotive technology can achieve, he mentioned.
Autonomous driving
Autonomous driving is one of the most transformative trends in the automotive industry, bringing both immense opportunities and complex challenges. BGSW is actively involved in overcoming these obstacles and exploiting the potential benefits of autonomous mobility.
Speaking about technological hurdles, Gondkar said building robust autonomous systems involves managing sensor accuracy, processing large volumes of data in real time and making reliable decisions in dynamic environments. To address these issues, the company leverages advanced sensor fusion, high-performance computing, and AI-based models to ensure the safety and reliability of autonomous vehicles. These efforts are essential to creating vehicles that can navigate complex road scenarios and respond accurately to unforeseen events.
Additionally, regulatory and ethical concerns, particularly regarding decision-making in critical situations during autonomous driving, remain significant challenges. “BGSW works with regulators and policymakers to help develop harmonized standards and ensure our systems meet high ethical standards,” he said.
Infrastructure needs
According to him, the success of autonomous vehicles depends heavily on infrastructure, including advanced communications networks and intelligent traffic systems. Technologies such as Vehicle-to-Everything (V2X) are essential to enable vehicles to communicate with their surroundings, improving traffic safety and efficiency. The company collaborates with technology companies and municipalities to develop V2X solutions, aligning with the broader vision of a connected transportation ecosystem.
Despite all this, customer acceptance remains a major factor in the adoption of autonomous vehicles. Concerns about data security and privacy must be addressed to build trust. To address this challenge, the company prioritizes transparency, strict security standards and robust data protection, while incorporating customer feedback to create products that meet consumer expectations. As autonomous driving continues to evolve, it offers promising opportunities to reduce road accidents, alleviate traffic congestion and expand access to mobility, he noted.
Transition from calculators to HPC
According to Gondkar, the shift from traditional electronic control units (ECUs) to high-performance computers (HPCs) marks a significant milestone in the evolution of automotive technology. He opined that HPCs offer enhanced processing capabilities, enabling faster responses, enhanced ADAS functionality and seamless connectivity. For end customers, this means improved vehicle performance, better fuel efficiency and increased safety, as well as real-time navigation, personalized experiences and more advanced autonomous features, he added.
“For Tier 1 suppliers like us, this transition paves the way for delivering advanced and scalable solutions integrating cutting-edge technologies such as AI, IoT and cybersecurity. The adoption of HPC aligns with our mission to lead in intelligent and efficient automotive technology, benefiting our customers and strengthening our role as an innovative Tier 1 supplier,” he said.
The next frontier in automotive innovation
Quantum computing, although still in its infancy, has the potential to revolutionize automotive systems and modules. With its unrivaled computing power, quantum computing could address challenges that traditional computers face, such as complex optimization tasks, advanced route planning, and supply chain logistics. As quantum hardware and algorithms mature, initial use cases are expected to emerge in areas such as materials discovery, battery improvement and fuel cell optimization, he observed.
The automotive sector is closely following developments in quantum computing, recognizing its potential to solve complex problems across the value chain. Although the newness of the technology poses challenges, such as hardware limitations and the need for specialized algorithms, the industry is preparing to integrate quantum computing into future applications. According to him, BGSW is strategically positioned to take advantage of quantum advancements. “Currently, research is focused on electric car batteries, where new quantum algorithms are being developed to explore lithium compounds and their chemical reactions, which could lead to advanced models of battery chemistry,” he said. he noted.
Innovation and implementation
As AI, ML, autonomous driving, HPC and quantum computing reshape the automotive industry, the focus remains on balancing innovation and practicality. While these technologies promise significant advancements, they also require careful integration with existing systems, compliance with regulatory standards and consumer-centric approaches.
By addressing technological challenges, seizing new opportunities and maintaining a customer-centric approach, the automotive sector is poised for an era of transformation. BGSW’s efforts to launch AI and ML applications, advance autonomous driving, transition to HPC, and explore quantum computing illustrate its focus on driving the future of mobility , he declared.
The road ahead is difficult but full of promise, with each innovation bringing the industry closer to safer, smarter and more efficient transportation solutions.
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