Search results for: 'detection ad naa3'

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...

This study aims to analyse the global connected fleet (commercial vehicle, passenger vehicle fleets, buses, and off-highway vehicle/heavy equipment) market for 2019. The objective of this research is to highlight the 2018 performance of the connected fleet ecosystem with respect to acquisitions, new product developments, OEM introductions and new t...

The automotive industry faces challenges such as regulatory hurdles, electrification, the rise of software-defined vehicles (SDVs), semiconductor shortages, and geopolitical chaos. OEMs and value chain partners are realigning their product strategies, roadmaps, and launch timelines to adapt to these challenges. They have rerouted investments to dev...

This study on tailpipe emissions from carsharing, bikesharing, and ridehailing covers comparative emissions, key emission phases, and practical considerations for policies or urban mobility planning.It also compares these shared modes with private car emissions, analyzing the potential impact of shared transportation on reducing CO2 emissions from ...

The in-vehicle entertainment industry is going through a dynamic shift. Audio entertainment in the passenger vehicle is no longer limited to music playback through multiple sources. The rise of ADAS/AD and SDVs have made audio a critical part of the passenger vehicle. Audio developers must now cater to ADAS/AD safety alerts, chimes, entertainment, ...

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...

The global automotive insurance industry is undergoing an impressive transformation as digitalization, connectivity, and data-driven models reshape how insurance is designed, delivered, and experienced. Traditional static policies are giving way to dynamic, usage-based, and behavior-based products that reflect real-world driving habits, enabled by ...