This article describes the different parameters to be taken into account to accurately simulate the reflection of an electromagnetic wave on a surface.
Archive for category: ADAS
The Simulation Manager tool, developed by Claytex, offers a wide range of methods to help engineers set up and test anything from sensor hardware in the loop to full autonomous driving. However, testing is useless unless the relevant data can be extracted from the simulation. This blog covers the...
A point cloud is a set of data points in space where those points represent a 3D shape or object. Point clouds are used for multiple purposes including the creation and visualization of CAD models . Given our work on Carla-Autoware and rFpro, this blog will focus on the...
The safety of an autonomous vehicle is paramount, but testing systems needed to ensure fully safe system performance are in their infancy. The Simulation Cycle is the process of creating, running and analysing results from a scenario. In the cycle the scenarios are designed and created by the Test Manager...
Following the first part of this blog series (Integrated Development Framework for ROS based Autonomous Vehicles using Autoware (Part I) – Claytex) where we covered aspects of our development framework, this post will cover our use of CARLA and AUTOWARE.AI. The overall goal of this work was to develop...
Claytex Lidar models for different hardware devices with high accuracy created using weather conditions such as air temperature, humidity and rainfall from a dedicated weather station on-site.
What is a Map Sensor? For a vehicle driving along a road, it can be difficult to define it’s movement. A Map Sensor defines an objects position relative to the road
Virtual scenario based testing Committed to providing a new generation of autonomous vehicle simulation tools, the new Autonomous package of Modelica vehicle models is the latest product from Claytex designed to help you bring cutting edge Automation ideas into reality. Aimed at helping to create lean, fast-simulating, scalable, vehicle...
The validation and verification of autonomous systems poses a range of complex challenges. Whilst physical testing continues to be useful, the proliferation of conditions and variables means that new virtual methods are needed. There is an urgent demand for a comprehensive understanding of ADAS, connected & autonomous vehicles behaviours...
Create reliable testing for ADAS and AV by configuring the simulation solver and segmenting the vehicle control cycle
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