Lidar SLAM lets a robot, vehicle, or handheld scanner map an unknown space while tracking its own position inside it. This guide discusses the processing pipeline, compares nine lidar SLAM and odometry algorithms, from GMapping to lidar-inertial and neural methods, and shows how to choose sensors
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Lidar measures distance with laser light; radar with radio waves. This guide compares the two technologies using published figures for wavelength, range, resolution, velocity, weather, and cost, and discusses suitable applications for each.
Explore AMD's Zynq UltraScale+ MPSoC and RFSoC for 5G, ADAS, and embedded applications.
Enhancing Efficiency with AGVs and AMR
Autonomous Vehicles (AVs) are poised to revolutionize human transportation by making it more safe, comfortable, and reliable. From passenger travel to cargo transportation, AVs equipped with AI and sensors offer tremendous potential.
The automotive industry undergoes a profound transformation through the IoT's power. Vehicle connectivity and autonomous driving redefine transportation, offering innovative opportunities. Embracing IoT's potential, our daily lives are poised for a significant shift in the automotive sector.
Cellular Vehicle-to-Everything (C-V2X) technology is transforming the transportation industry by enabling advanced communication between vehicles, infrastructure, and other road users. This breakthrough technology has the potential to improve road safety, reduce traffic congestion, and support the development of autonomous vehicles.
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