Algolux

42dot combines cutting-edge technology with tailored connected services to optimize the process of moving people and goods. Our goal is to create a fully autonomous, centralized infrastructure for autonomous and frictionless transportation services. By accelerating the transition to autonomous Transportation-as-a-Service, we hope to bring valuable, life-enhancing products to the market. UMOS is a comprehensive mobility and logistics platform that integrates all forms of ground and air transportation services such as e-hailing, fleet management, demand-responsive transport, smart logistics and more. The platform encompasses multiple layers of functionality built with robust technology that provides enterprise-level scale. UMOS aims to create an ecosystem where we no longer have to worry about getting around. UMOS will take care of our mobility needs and everything related to being in motion.

​Analyzing your current automotive or robotic software systems to assess a path to commercialization. Transitioning your existing software to Apex.OS. Transitioning your existing environment to a state-of-the-art continuous integration, continuous testing, and continuous delivery framework. Providing software architecture reviews and recommendations. Providing functional safety training to enable your team to build your safe autonomous system. Apex.OS is a fork of ROS 2 that has been made real-time, reliable, and deterministic so that it can be used in safety-critical applications. Apex.OS is developed in sync with future releases of ROS 2 and APIs stay compatible to ROS 2. Based on the integration of Eclipse Cyclone DDS™ and Eclipse iceoryx™, both are available as open-source and proven in automotive and mission-critical distributed systems.

Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.