Jump start your journey
into Mobility AI
Introducing
Holoscene SensorFusion
with Edge_AI
An all-in-one suite to accelerate AI development for Active Mobility and LEVs
Discover the future of smart mobility with the Holoscene SensorFusion E-bike and experience with unprecedented speed the benefits of AI-powered mobility. Designed to simplify your access to cutting-edge technology, the SensorFusion E-bike with Edge_AI redefines what’s possible, while keeping safety and data privacy a priority. Unleash the potential of Mobility AI, all from the perspective of sustainability.
POWERED AND SUPPORTED BY
BOREAL Holoscene_RT Platform
You’re just a ride away
The Holoscene_RT platform simplifies the development of sophisticated AI-enabled mobility solutions. Our latest update introduces new features such as Precise Time Protocol for perfect synchronization, a workflow of GPU-accelerated libraries for faster responses, and reference AI models to facilitate the rapid creation of smart mobility applications.
Code the future. Ride the future and let others experience the Ride.
Holoscene SensorFusion
Get a head start
From advanced AI/ML models to comprehensive datasets enriched with active mobility telemetry and naturalistic cycling data, you’ll have everything you need to quickly dive deeply into the subject. Together with our partners, we are creating an ideal ecosystem to enhance your future intelligent mobility endeavors.
Benefit from an Open Ecosystem
By starting with ROS2 and incorporating powerful NVIDIA GPU-powered edge computing, we’ve supercharged your favorite community-supported tools and libraries with added power and acceleration. With Holoscene_RT, you’ll be able to explore, develop, test, integrate, and implement tomorrow’s edge applications today.
ROS is a trademark of Open Robotics.
Create Onboard AI Edge Apps
Discover quickly why the whole is greater than the sum of its parts. Your efforts could significantly enhance road safety with features like collision avoidance. Develop AI-enabled Edge applications that prioritize Vulnerable Road Users (VRUs).
Industry Standard Real-Time Connectivity
From V2x to C-V2X, the Holoscene_RT has one of the most complete and advanced connectivity solutions in the industry that satisfies the most demanding system synchronisation requirements. Holoscene_RT is built by design for functionality and interoperability.
How it works
Holoscene_RT with Edge_AI
The Holoscene_RT with Edge_AI provides everything you need for AI/ML development, offering unparalleled flexibility and control over every stage of the process. Running your application using Edge_AI ensures that sensitive information remains on the device, reducing the risk of data breaches and ensuring user privacy.
Holoscene Success Stories
Salzburg Research Bike2CAV
Networking and automation of vehicles offer a great opportunity to increase the safety of cyclists. A consortium led by the Salzburg Research Research Society is working on innovative technologies to protect vulnerable road users. The focus is on options for cooperative detection of collision risks as well as non-distracting warning concepts.
Photo credit: Salzburg Research ©
source: www.bike2cav.at
DLR SAVENoW
Our platform plays an active role in providing key data for the SAVeNoW research project undertaken by DLR. The project explores the construction and operation of a digital twin for urban traffic, using Ingolstadt as an example. In virtual simulations, for example for individual traffic situations, individual traffic behavior or completely new mobility concepts are examined and changes are simulated to see how they can affect important KPIs related to traffic safety, emissions and efficiency.
source: www.savenow.de
TU Delft SenseBike
Funded by the TU Delft Climate Action Call, the SenseBike captures sensor data for sustainable solutions. Implemented by Bachelor and Master students, it uses lidars, cameras, IMU, and RTK to detect objects like cars and pedestrians. The data helps study cyclist behavior in urban environments. The SenseBike performs simultaneous localization and mapping (SLAM) and lidar segmentation, creating a semantically labeled campus map. This information identifies unsafe environments for cyclists and aids in designing more livable cities.
Photo credit: TU Delft ©
TUM STADT:up
At the Technical University of Munich, a new smart sensor bike from Boréal Bikes joined the Chair of Traffic Engineering and Control. This advanced e-bike is equipped with state-of-the-art technology, including cameras, 360-degree lidar, cycling behavior sensors, GNSS, and more, making it a powerful tool for our research endeavors.
The department is gearing up to embark on real-world experiments utilizing the bike in the research project STADT:up. The research team is enthusiastic about delving into these experiments to find answers to research questions related to cycling behavior, active mobility, and road safety.
Photo credit: TUM ©
source: www.tum.de