Cepton, Inc. (NASDAQ: CPTN) Unveils World’s Smal
Post# of 126
(Total Views: 237)
Posted On: 04/27/2023 3:57:27 PM
Cepton, Inc. (NASDAQ: CPTN) Unveils World’s Smallest Long-Range Lidar and Expanded Proprietary ASIC Chipset
- Lidar’s perception capabilities and seamless integration into modern vehicle designs are primary challenges facing mass-market ADAS adoption
- CPTN’s Vista(R)-X90 Plus overcomes size and performance obstacles to enable faster ADAS mass-market commercialization
- CPTN recently released Komodo, an advanced point cloud processor ASIC; advantages include increased speed, improved sensor performance, higher digital signal processing, and noise reduction
- Production of proprietary ASIC costs 10x less than legacy alternatives and reduces supply chain vulnerabilities, enabling CPTN to offer an unparalleled cost-to-performance ratio
Commercialization of lidar for Advanced Driver-Assistance Systems (“ADAS”) faces two primary obstacles: perception capabilities and sensor embeddability into modern vehicle designs. Lidar pioneer Cepton’s (NASDAQ: CPTN) Ultra-Slim Vista(R)-X90 Plus lidar overcomes both barriers while setting new industry standards.
Billed by CPTN as the “world’s smallest” adaptive long-range lidar, the Vista-X90 Plus is 62% slimmer than its predecessor — the Vista(R)-X90 — with a 58% footprint reduction. Besides offering an extremely streamlined solution for windshield integration, the Vista-X90 Plus can be seamlessly embedded into the roof, headlamps, and vehicle fascia.
CPTN also announced the release of Komodo – the company’s proprietary lidar point cloud processor ASIC. Along with Iguana (CPTN’s signal processing ASIC), the company’s expanded chipset will be integrated into several lidar models covering front-end signal processing and back-end point cloud processing.
“Vista(R)-X90 Plus is the second generation of the industry’s best lidar for integration behind the windshield,” said Dr. Jun Pei, CEO and Co-founder of Cepton (https://nnw.fm/mVso8 ). “Its groundbreaking design resulted not only from our latest innovation in the 3D imaging technology, but also from our advancements in the development of our proprietary ASIC chipset.”
Earlier lidar technology relied on Field-Programmable Gate Arrays (“FPGAs”) and merchant silicon devices to generate a 3D point cloud, making the technology susceptible to supply chain vulnerabilities and increasing costs, which further hindered mass-market commercialization. Furthermore, FPGAs and merchant silicon devices are less efficient, larger, and consume more power.
In contrast, Cepton’s dedicated ASICs improve performance while reducing lidar unit costs, helping achieve the price points necessary for mass-market lidar adoption. Other benefits include increased speed, better sensor performance, higher digital signal processing, and noise reduction. Komodo also costs 10x less than the FPGA and merchant silicon chips it replaces, further strengthening Cepton’s cost-to-performance ratio for its lidars.
“In the context of the U.S. CHIPS bill, we see the increasing importance of minimizing reliance on the semiconductor supply chain by using our own ASICs,” said Dr. Pei. “Cepton will continue to drive its ASIC development and expand its leadership in automotive lidar at the chip level.”
Besides commercializing lidar systems for autonomous vehicles and advanced driver-assistance systems, CPTN also develops solutions for a range of other industries. Additional applications of the company’s technology include early-warning intrusion detection, airport terminal monitoring, obstacle detection at railway-level crossings, crowd analytics solutions, free-flow e-tolling, and perception solutions for smart transportation infrastructure.
The company is headquartered in San Jose, California with a center of excellence facility in the Motor City.
For more information, visit the company’s website at www.Cepton.com.
NOTE TO INVESTORS: The latest news and updates relating to CPTN are available in the company’s newsroom at https://nnw.fm/CPTN
Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer
- Lidar’s perception capabilities and seamless integration into modern vehicle designs are primary challenges facing mass-market ADAS adoption
- CPTN’s Vista(R)-X90 Plus overcomes size and performance obstacles to enable faster ADAS mass-market commercialization
- CPTN recently released Komodo, an advanced point cloud processor ASIC; advantages include increased speed, improved sensor performance, higher digital signal processing, and noise reduction
- Production of proprietary ASIC costs 10x less than legacy alternatives and reduces supply chain vulnerabilities, enabling CPTN to offer an unparalleled cost-to-performance ratio
Commercialization of lidar for Advanced Driver-Assistance Systems (“ADAS”) faces two primary obstacles: perception capabilities and sensor embeddability into modern vehicle designs. Lidar pioneer Cepton’s (NASDAQ: CPTN) Ultra-Slim Vista(R)-X90 Plus lidar overcomes both barriers while setting new industry standards.
Billed by CPTN as the “world’s smallest” adaptive long-range lidar, the Vista-X90 Plus is 62% slimmer than its predecessor — the Vista(R)-X90 — with a 58% footprint reduction. Besides offering an extremely streamlined solution for windshield integration, the Vista-X90 Plus can be seamlessly embedded into the roof, headlamps, and vehicle fascia.
CPTN also announced the release of Komodo – the company’s proprietary lidar point cloud processor ASIC. Along with Iguana (CPTN’s signal processing ASIC), the company’s expanded chipset will be integrated into several lidar models covering front-end signal processing and back-end point cloud processing.
“Vista(R)-X90 Plus is the second generation of the industry’s best lidar for integration behind the windshield,” said Dr. Jun Pei, CEO and Co-founder of Cepton (https://nnw.fm/mVso8 ). “Its groundbreaking design resulted not only from our latest innovation in the 3D imaging technology, but also from our advancements in the development of our proprietary ASIC chipset.”
Earlier lidar technology relied on Field-Programmable Gate Arrays (“FPGAs”) and merchant silicon devices to generate a 3D point cloud, making the technology susceptible to supply chain vulnerabilities and increasing costs, which further hindered mass-market commercialization. Furthermore, FPGAs and merchant silicon devices are less efficient, larger, and consume more power.
In contrast, Cepton’s dedicated ASICs improve performance while reducing lidar unit costs, helping achieve the price points necessary for mass-market lidar adoption. Other benefits include increased speed, better sensor performance, higher digital signal processing, and noise reduction. Komodo also costs 10x less than the FPGA and merchant silicon chips it replaces, further strengthening Cepton’s cost-to-performance ratio for its lidars.
“In the context of the U.S. CHIPS bill, we see the increasing importance of minimizing reliance on the semiconductor supply chain by using our own ASICs,” said Dr. Pei. “Cepton will continue to drive its ASIC development and expand its leadership in automotive lidar at the chip level.”
Besides commercializing lidar systems for autonomous vehicles and advanced driver-assistance systems, CPTN also develops solutions for a range of other industries. Additional applications of the company’s technology include early-warning intrusion detection, airport terminal monitoring, obstacle detection at railway-level crossings, crowd analytics solutions, free-flow e-tolling, and perception solutions for smart transportation infrastructure.
The company is headquartered in San Jose, California with a center of excellence facility in the Motor City.
For more information, visit the company’s website at www.Cepton.com.
NOTE TO INVESTORS: The latest news and updates relating to CPTN are available in the company’s newsroom at https://nnw.fm/CPTN
Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer
(0)
(0)