Autonomous & eMobility Vehicles
Last-Mile Delivery
Construction Agriculture Vehicles
LAST-MILE DELIVERY
Last-mile delivery vehicles, including autonomous delivery robots and delivery drones, must safely navigate dynamic environments while maximizing operational efficiency and fleet uptime. The highest technical priorities include sensing and compute solutions, which work together to enable perception, obstacle avoidance, localization, path planning, and real-time autonomous decision-making. Cameras, radar, LiDAR, GPS, and inertial sensors generate the environmental awareness required for safe operation, while onboard AI and high-performance processing platforms transform this data into actionable vehicle controls.
As these platforms operate in public spaces alongside pedestrians, cyclists, and vehicles, functional safety becomes a critical design requirement, ensuring reliable operation under real-world conditions and supporting regulatory compliance. Connectivity enables remote operation, fleet management, route optimization, over-the-air updates, and real-time monitoring, enabling operators to efficiently manage large-scale deployments. While power management remains essential for maximizing battery life, operating range, and mission duration, it primarily serves as an enabling technology that supports the vehicle's autonomous capabilities.
Together, these technologies form the foundation of scalable, safe, and intelligent last-mile delivery solutions, enabling autonomous delivery robots and delivery drones to operate efficiently across ground-based and aerial platforms.
COMPUTE
POWER
SENSING
CONNECTIVITY
FUNCTIONAL SAFETY
AUTONOMOUS & eMOBILITY VEHICLES
Autonomous and electric vehicles place heavy demands on electronics, requiring intelligent systems that can perceive the environment, make decisions, and efficiently manage energy — all in real-time. Powering these capabilities is high-performance compute, which serves as the foundation for AI processing, sensor fusion, path planning, and vehicle control by instantly processing sensor data to execute split-second maneuvers at varying speeds, all while ensuring the vehicle operates reliably and safely under all conditions.
As autonomy levels increase, power management becomes increasingly critical for maximizing battery range, optimizing energy distribution, and supporting high-power computing workloads. Advanced sensing technologies, including cameras, radar, LiDAR, and vehicle monitoring sensors, provide the awareness needed for autonomous operation, while connectivity enables over-the-air updates, telematics, V2X communication, and cloud-based services.
Together, these technologies create a tightly integrated ecosystem that transforms vehicles into intelligent, adaptive platforms capable of continuously learning, evolving, and delivering safer, more connected, and sustainable mobility.
CONSTRUCTION AGRICULTURE VEHICLES
Electrified construction and agricultural vehicles require high levels of efficiency, durability, and reliability to maximize productivity in demanding operating environments. Power management optimizes high-power duty cycles, maximizes operational range, and extends battery life under severe weight and performance constraints. To handle challenging field conditions, electrical design engineers must integrate ruggedized thermal management, advanced battery management systems (BMS), and multi-voltage architectures that safely bridge high-voltage powertrains with low-voltage auxiliaries. Ultimately, software-driven power controls and efficient energy distribution systems maximize machine uptime while significantly reducing the total cost of ownership.
Functional safety capabilities ensure the safe operation of heavy equipment around operators, workers, and valuable assets while supporting increasingly automated machine functions. As equipment continues to evolve toward precision agriculture and semi-autonomous operation, sensing technologies such as radar, LiDAR, vision systems, position sensors, and machine health monitoring provide the data needed for accurate guidance, obstacle detection, and productivity optimization. These capabilities are supported by compute platforms that process sensor data, enable machine automation, and execute advanced control algorithms for vehicle and implement management. Meanwhile, connectivity enables telematics, predictive maintenance, fleet optimization, remote diagnostics, and over-the-air software updates, improving operational efficiency across large equipment fleets.
Together, these technologies enable the next generation of connected, electrified, and increasingly autonomous off-highway machinery.
COMPARE ENGINEERING EMPHASIS ACROSS TRANSPORTATION PLATFORMS
Transportation systems are becoming more converged at the technology level. The same underlying domains appear across vehicle types, but each application places different weight on them based on operating conditions, system demands, and deployment realities. Select a vehicle type to explore the pattern.
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