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The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to object detection, electric vehicles, smart batteries and Radar. Some of the innovations profiled include Object Detection System Redefining Safety and Scalability in Driverless Vehicle Testing, Autonomous Electric Vehicle System Transforms Urban Passenger Transit, Int...

India's E2W market is expanding quickly due to rising petrol prices, government incentives, and growing environmental concerns. To effectively target customers and meet their needs, OEMs and marketers should understand the buyer profiles of electric two-wheelers. This study examines the Voice of the Consumer by looking at the traits, inclinations, ...

The automotive industry is undergoing a profound shift towards sustainability, driven by environmental regulations, consumer demand, and a growing awareness of the environmental impact of traditional materials. This report comprehensively analyzes green materials in the automotive sector, examining their definition, evolution, key categories, and a...

City transportation systems around the world are undergoing significant transformation due to technological advancements, changing urban landscapes, and evolving expectations from residents. Traffic congestion, air pollution, and inefficient use of resources are common challenges that transport operators across cities are grappling with. To address...

Global transit and coach bus sales are forecast to reach 266,700 units in 2025, with substantial growth attributed to the fast-growing markets in China and India. Increased demand for transit buses is fueled by fleet modernization and government subsidies for alternative powertrains, while the robust tourism growth drives the coach bus segment.The ...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

Quantum sensing is transitioning from laboratory research to industrial deployment, driven by the need for ultra-precise, reliable measurement in high-impact sectors such as healthcare, defense, and advanced manufacturing. This shift reflects a broader move from controlled, research-grade environments toward scalable, field-ready systems that meet ...

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...