Establishing an open alternative data security and routing system, operating right on top of the existing Internet protocols.
Layer 0 Protocol for Web 3.0
Provides the interoperable and decentralized connectivity layer for Web 3.0 ecosystem
Bridging the gap between Web 2.0 and Web 3.0 by enabling secure and reliable connectivity to all Web 3.0 services
Syntropy is designed to solve issues prevalent in the current Internet framework, including security, privacy, governance, performance, reliability, and ineffective resource utilization.
Decentralized and Trustless Data Encryption
Decentralized Public-key Exchange through blockchain.
Removes any third party from data encryption. No certificates and trusted authorities.
Enables end-to-end secure and private connectivity across all Internet.
Global Data Routing Network
Collective intelligence of all Internet networks around the globe.
Routing data for every connection through the best possible routes at any time.
High-performance, latency optimised, and ultra-reliable connectivity accessible instantly.
Community Governance
Enabling people to govern Internet through Syntropy network.
Open source by nature - developed, governed, run, and used by the people.
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Lidar with Velocity:
Motion Distortion Correction of Point Clouds
from Oscillating Scanning Lidars
In this paper, Gaussian-based lidar and camera fusion is proposed to estimate the full velocity and correct the lidar distortion.
Lidar point cloud distortion from moving object is an important problem in autonomous driving, and recently becomes even more demanding with the emerging of newer lidars, which feature back-and-forth scanning patterns.
Accurately estimating moving object velocity would not only provide a tracking capability but also correct the point cloud distortion with more accurate description of the moving object.
SimpleTrack:
Understanding and Rethinking
3D Multi-object Tracking
3D multi-object tracking (MOT) has witnessed numerous novel benchmarks and approaches in recent years, especially those under the "tracking-by-detection" paradigm.
Despite their progress and usefulness, an in-depth analysis of their strengths and weaknesses is not yet available.
In this paper, they summarize current 3D MOT methods into a unified framework by decomposing them into four constituent parts: pre-processing of detection, association, motion model, and life cycle management.
Their sub-brands include Future Hub, open innovation accelerator solely focusing on sustainability.
The program brings together Baltic market-leading enterprises with top EU impact tech startups to facilitate partnerships for a 2-month co-creation process of a pilot project.