Compare Helm.ai vs. RTMaps in 2026

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Description

We provide licensing for AI software that spans the entire L2-L4 autonomous driving framework, which includes components like perception, intent modeling, path planning, and vehicle control. Our solutions achieve exceptional accuracy in perception and intent prediction, significantly enhancing the safety of autonomous driving systems. By leveraging unsupervised learning alongside mathematical modeling, we can harness vast datasets for improved performance, bypassing the limitations of supervised learning. These advancements lead to technologies that are remarkably more capital-efficient, resulting in a reduced development cost for our clients. Our offerings include Helm.ai's comprehensive scene vision-based semantic segmentation, integrated with Lidar SLAM outputs from Ouster. We facilitate L2+ autonomous driving capabilities with Helm.ai on highways 280, 92, and 101, which encompasses features such as lane-keeping and adaptive cruise control (ACC) lane changes. Additionally, Helm.ai excels in pedestrian segmentation, utilizing key-point prediction to enhance safety. This includes sophisticated pedestrian segmentation and accurate keypoint detection, even in challenging conditions like rain, where we address corner cases and integrate Lidar-vision fusion for optimal performance. Our full scene semantic segmentation also accounts for various road features, including botts dots and faded lane markings, ensuring reliability across diverse driving environments. Through continuous innovation, we aim to redefine the boundaries of what autonomous driving technology can achieve.

Description

RTMaps is a component-based middleware for development and execution that is highly optimized. RTMaps allows developers to design complex real-time algorithms and systems for their autonomous applications, such as mobile robots and railways. RTMaps offers a variety of benefits to help you develop and execute an application. • Asynchronous data acquisition • Optimised performance • Synchronized recording and playback • Comprehensive component libraries: Over 600 I/O components available • Flexible algorithm development - Share and collaborate Multi-platform processing • Scalable and cross-platform: from PCs, embedded targets, to Cloud. • Rapid prototyping & testing • Integration with dSPACE Tools • Time and Resource Savings • Limiting development risks, errors and effort • Certification ISO26262 ASIL-B: on demand