Search results for: 'EndPoint Detection and Response'

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...

Via Transportation, Inc. (Via) is a leading business-to-business (B2B) transit software and tech-enabled operations company. The company’s platform serves five segments of the global demand-response transit (DRT) market: microtransit, paratransit, school transport, corporate/campus transport, and non-emergency medical transportation (NEMT). This Fr...

2025 was a year of mixed outcomes for the shared mobility ecosystem. Electrification saw a huge uptake in the bikesharing segment, especially in North America. While the penetration of electric vehicles (EVs) in ridehailing slowed down, demand response transit (DRT) picked up pace, with nearly 375 new services launched globally, spearheaded by expa...

Globally, many cities are making concerted efforts to shift away from car dependency toward greener, shared, and electrified transport solutions. As the willingness of people to use shared mobility apps increases, governments and cities are enacting policies to reduce carbon emissions, decrease congestion, and promote sustainable transport options....

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...

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 ...