Best Autonomous Driving Software for Linux

iZND GPS Server is a leading web based GPS tracking platform successfully used by transportation companies, police and fire departments, utility companies, service organizations and other businesses with mobile workers around the world. iZND GPS Tracking Server scales from small installations to thousands of vehicles and operators. The platform supports hundreds of different tracking devices, a large number of maps and languages. Big companies and tracking partners can create separate tracking applications for different departments or customers on a single iZND GPS Server installation. The platform offers real time GPS tracking of multiple vehicles in a web browser. A live view of the entire vehicle fleet gives you control, the best vehicle can be dispatched for a job and specific vehicles can be followed when required. Alerts and notifications are instantly available in the application.

RTMaps (Real-time multisensor applications) is a highly-optimized component-based development and execution middleware. Thanks to RTMaps, developers can design complex real-time systems and perception algorithms for their autonomous applications such as mobile robots, railway, defense but also ADAS and Highly automated driving. RTMaps is a versatile swiss-knife tool to develop and execute your application and offering multiple key benefits: ● Asynchronous data acquisition ● Optimized performance ● Synchronous recording and playback ● Comprehensive component libraries: over 600 I/O software components available ● Flexible algorithm development: Share and collaborate ● Multi-platform processing ● Cross-platform compatibility and scalable: from PC, Embedded targets, to the Cloud. ● Rapid prototyping and testing ● Integration with dSPACE tools ● Time and resource savings ● Limiting Development risks, errors and efforts. ● Certification ISO26262 ASIL-B: on demand

MORAI offers a digital twin simulation platform that accelerates the development and testing of autonomous vehicles, urban air mobility, and maritime autonomous surface ships. Built with high-definition maps and a powerful physics engine, it bridges the gap between real-world and simulation test environments, providing all key elements for verifying autonomous systems, including autonomous driving, unmanned aerial vehicles, and unmanned ship systems. It provides a variety of sensor models, including cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users can generate complex and diverse test scenarios from real-world data, including log-based scenarios and edge case scenarios. MORAI's cloud simulation allows for safe, cost-effective, and scalable testing, enabling multiple simulations to run concurrently and evaluate different scenarios in parallel.