Automotive Sensors and Supply Chain Overview
Explore ADAS sensors - MEMS, LiDAR, radar, cameras, ultrasonic and why multi-sensor fusion is key to autonomous driving.
Explore ADAS sensors - MEMS, LiDAR, radar, cameras, ultrasonic and why multi-sensor fusion is key to autonomous driving.
Explore the challenges of Image SoC design for network cameras, focusing on ISP, video compression, and low-power techniques.
Satellite radar architecture and TI AWR2544 enable centralized ADAS processing, improved sensor fusion, scalability, and automotive safety.
Explore CCD clocking and nonstandard voltages: datasheet examples, four-phase and multi-phase readout schemes for image sensors.
Optimize camera-lens pairing for machine vision: avoid Nyquist pitfalls, aim for half-Nyquist, check MTF and contrast (>=20%) with lens testing.
Learn CMOS image sensors: key terms, functions, applications, and CMOS vs CCD differences for cameras, smartphones, medical and industrial imaging.
Discover M-detector: an open-source LiDAR method from HKU achieving microsecond per-point motion detection for real-time robotic perception.
Drive motor speed sensor: excitation with sine/cosine coils detects rotor position, speed and direction, sending signals to control module and VCU.
Explore the latest in hydrogen sensor technology, including electrochemical, electrical, and optical types for safety and industrial use.
Learn ultrasonic basics: piezoelectric transducers, echo ranging, 40kHz generation, and transmitter/receiver circuits for distance measurement.