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Autonomous Driving
September 29, 2022
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Algolux is a globally recognized computer vision company delivering the industry’s most robust and scalable perception for all conditions, addressing both existing cameras and new designs through cloud-based tools and embedded AI software. Over the years, Our computer vision and image optimization solutions address the mission-critical issue of safety for ADAS, autonomous vehicles, fleets, autonomous mobile robots, and smart city traffic video analytics. Algolux solutions enable your autonomous vehicles to achieve industry-leading accuracy and robustness while allowing you to scale your resources, accelerate project schedules, and quickly support any sensor or processor architecture. Algolux can maximize your AMR perception performance by providing end-to-end perception software and vision system optimization tools.
This project was last updated September 29, 2022 byCloodo
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.
This project was last updated September 29, 2022 byCloodo
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.
This project was last updated September 29, 2022 byCloodo
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