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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...

Open-source software (OSS) architectures for vehicles are entering a new phase, reshaping SDV development by enabling collaborative, cloud-native stacks across the in-vehicle and cloud domains. This Frost & Sullivan study examines how automakers, Tier Is, silicon vendors, open foundations, and toolchain providers are converging to reduce cost and t...

The advanced imaging sensors market is growing rapidly, driven by fast-paced innovations and increasing consumer demand. As industries place greater emphasis on comfort, convenience, safety, and efficiency, the global sensor market for autonomous vehicles and robotics is experiencing exponential growth. Governments and regulatory bodies across regi...

Advanced robotics and autonomous systems (RAS) are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including healthcare, manufacturing, automotive, and agriculture. Continuous advancements in hardware and AI-based decision-making are reshaping the capabi...

14 Dec 2021  |  Global  |  Frost Radar

Frost Radar™: Global Off-Highway Autonomous Technology Market, 2021

A Benchmarking System to Spark Companies to Action—Innovation that Fuels New Deal Flow and Growth Pipelines

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The promise of worker safety and productivity gains will drive the development of autonomous off-highway equipment in the medium-to-long term. Unmanned equipment’s ability to operate 24/7 without interference enables easier integration of technology into existing infrastructure and fleets, which will boost interest in this market. Even though th...

This report presents Frost & Sullivan’s analysis of blockchain use cases specific to the automotive industry in several regions, namely North America, Europe, China, India, Latin America, and the Association of Southeast Asian Nations (ASEAN). The study period is 2022–2023. The blockchain revolution is transforming industries worldwide, and the au...

The Indian Government’s infrastructure spending will be a top growth driver for light commercial vehicles (LCVs) in the country. Government spending on the development of roadways, highways, and industrial corridors has created new opportunities. Electrification in LCVs can reduce operational costs and increase payload capacity. Technology-focused...

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...

This study focuses on how next-generation chiplet architectures, high-bandwidth memory (HBM), and advanced packaging technologies such as 2.5D/3D integration and fan-out wafer-level packaging are enabling the next wave of AI and high-performance computing (HPC) system architectures, rather than providing a broad packaging market overview. It analyz...