Search results for: 'computational science ad engineering'

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

Software-defined vehicle (SDV) development is reshaping Europe’s automotive engineering service provider (ESP) market, shifting demand from capacity-led engineering support toward platform integration, software lifecycle management, validation automation, and compliance-by-design. This Frost & Sullivan analysis assesses how original equipment manuf...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

This analytics highlights quantum computing innovation in the automotive industry and the significance of integrating this technology in supply chain, materials research, vehicle design, vehicle testing, assembly, manufacturing, retail, after-sales, and vehicle-in-motion. Simulations integrated with quantum computing processors analyze multiple pre...

17 Sep 2024  |  Global  |  Market Research

ADAS and AD Sensor Suite Strategies, Europe, 2024 2030

OEMs Strategies Will Drive Transformational Growth by Using LiDAR as a Primary Sensor with Cameras and Imaging Radar to Meet the Rise of Eyes-off Driving

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Key Issues Addressed

The global automotive industry is going through a transformation with the convergence of the connected, autonomous, shared, and electric (CASE) trends. Connectivity and autonomous driving (AD) features are leading this transformation. Globally, OEMs are looking to introduce various advanced driver assistance system (ADAS) features ranging from L0 t...

Recent cutbacks in EV investments due to lower consumer interest and higher raw material prices can boost alternative ICE vehicles, such as H2ICE, with lower price premiums that consumers can readily adopt in the short-to-medium term. ICEs running on hydrogen require minimal modifications and offer good customer value. These fuels can be made avail...

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...

The evolution in autonomy and increase in the adoption of driver assistance systems have generated a need to sense and perceive the surrounding environment of a vehicle entirely and accurately. The fusion of forward-looking sensor data has given OEMs and Tier-I suppliers opportunities to offer multiple ADAS applications at low costs, while providin...

Major automotive OEMs globally are now incorporating active safety and automated vehicle technologies in their future vehicle line-ups to enhance safety and driver comfort. To gauge the suitability of each technology, continuous testing and validation is a must. Based on supportive legislation, several regions across the globe have been identified ...