Why FIR sensing technology is essential for achieving fully autonomous vehicles
Yakov Shaharabani, AdaSky
embedded.com (June 12, 2018)
The automotive industry is experiencing an influx of new technology as it never has before. Automakers are promising to deploy fully autonomous vehicles on public roads within the next few years and are predicting that mass market adoption will not be far behind. But while top-tier automakers and tech companies are eager to accelerate these autonomous innovations, achieving full vehicle autonomy will require a sensing technology that enable cars to “see” the world around them and react better than human drivers.
Current sensing technologies, like LiDAR, radar, and cameras, have perception problems that require a human driver to be ready to take control of the car at any moment. For this reason, the role of sensors has only intensified; to achieve Level 3-5 autonomous driving, vehicles need sensors both in greater quantity and of greater ability. This article explores the sensing capabilities of current solutions, such as radar and LiDAR (light detection and ranging), and why FIR (far-infrared) in a fusion solution is ultimately the key to achieving Level-3, 4, and 5 autonomous driving.
To read the full article, click here
Related Semiconductor IP
- USB 4.0 V2 PHY - 4TX/2RX, TSMC N3P , North/South Poly Orientation
- FH-OFDM Modem
- NFC wireless interface supporting ISO14443 A and B with EEPROM on SMIC 180nm
- PQC CRYSTALS core for accelerating NIST FIPS 202 FIPS 203 and FIPS 204
- USB Full Speed Transceiver
Related White Papers
- Inside the Xilinx Kintex-7 FPGA: A closer look at the first FPGA to use HKMG technology
- CE-ATA: Consumer Electronics Storage Technology Introduction and Hardware Design Challenges
- Fault-robust microcontrollers allow automotive technology convergence: Part 1, the nature of faults
- A Platform-Based Technology for Fault-Robust SoC Design
Latest White Papers
- FastPath: A Hybrid Approach for Efficient Hardware Security Verification
- Automotive IP-Cores: Evolution and Future Perspectives
- TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs
- How a Standardized Approach Can Accelerate Development of Safety and Security in Automotive Imaging Systems
- SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models