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Global Automotive LiDAR System-on-Chip (SoC) Market to Reach $0.20 Billion by 2033 - BIS Research Market Intelligence Report - Vimarsana News

Global Automotive LiDAR System-on-Chip (SoC) Market to Reach $0.20 Billion by 2033 - BIS Research Market Intelligence Report

Global Automotive LiDAR System-on-Chip (SoC) Market to Reach $0.20 Billion by 2033 – BIS Research Market Intelligence Report

A Novel Mon-Mechanical 3D Lidar System - Vimarsana News

A Novel Mon-Mechanical 3D Lidar System

In a new interview, AZoOptics talks with Professors Susmu Noda and Menaka De Zoysa about their research presenting a new nonmechanical 3D Lidar system.

Digitally Transformed Lidar System with Resource-Saving TDC - Vimarsana News

Digitally Transformed Lidar System with Resource-Saving TDC

A recent paper illustrated a low-cost digitally integrated LiDAR with TDC that is completely FPGA-controlled and processed in a low-end FPGA chip with constrained configurable logic block resources.

3D LIDAR Sensor im Industriegehäuse mit GigE - Mittelstand Cafe - Vimarsana News

3D LIDAR Sensor im Industriegehäuse mit GigE - Mittelstand Cafe

3D LIDAR Sensor im Industriegehäuse mit GigE Mit der Unterstützung der neuen 3D Kameras von Percipio, ist es selbst im rauen Industriealltag einfach möglich 3D Systeme einzusetzen. Die 3D Sensoren sind mit unterschiedlichen Auflösungen verfügbar. Die Sensoren basieren auf dem LIDAR System und liefern gleichzeitig hochwertige, hochauflösende Farbbilder. Die Percipio Sensoren sind komplett als 3D Sensor mit allen Datenströmen eingebunden, für sie als Anwender ist damit eine optimale Time-To-Market möglich. Die Programmierung erfolgt wie immer mit der EyeVision Software per...

Using LiDAR Technology to Increase Road Safety - Vimarsana News

Using LiDAR Technology to Increase Road Safety

Using LiDAR Technology to Increase Road Safety Image Credit: metamorworks/Shutterstock.com Autonomous vehicles (AVs), more commonly known as driverless vehicles, are arguably the next big revolution in automotive technology. But with this revolution comes a challenge: how do you ensure onboard artificial intelligence (AI) can respond in real-world traffic conditions? One solution is to capture real-world data using light detection and ranging (LiDAR). The Challenge of AVs and Real-World Driving Conditions It is predicted that self-driving cars will become as commonplace as cr...