Scalabel vs. Helm.ai

Enable a diverse range of annotation types for images and videos through a versatile, open-source web tool. This platform is built to scale effectively and features user-friendly “click and drag” capabilities that simplify the process of adding numerous attributes. It includes functionalities that allow the fitting of boundaries with Bezier curves and the option to duplicate common boundaries, enhancing efficiency. Users can pinpoint the specific areas where a driver is active and delineate lane lines, which is crucial for improving vision-based vehicle localization and trajectory planning. An easy four-click approach is utilized to precisely encapsulate objects of interest, while sophisticated algorithms leverage object tracking and interpolation methods to forecast annotations across different frames for bounding boxes. The tool also extends its prediction capabilities to individual object instances, with 2D tracking that has been further developed into a three-dimensional framework, thereby enriching the overall annotation experience. By incorporating these advanced features, this tool strives to optimize the workflow for individuals engaged in tasks related to image and video annotation, ultimately leading to enhanced productivity and accuracy. Furthermore, the platform's adaptability ensures that it can cater to the evolving needs of various users in this field.

We offer licensing for AI software that encompasses the entire framework of L2-L4 autonomous driving, which consists of essential elements such as perception, intent modeling, path planning, and vehicle control. Our solutions excel in delivering outstanding accuracy in both perception and intent prediction, which greatly boosts the safety levels of autonomous driving systems. By utilizing unsupervised learning combined with robust mathematical modeling, we effectively tap into extensive datasets to enhance performance while avoiding the constraints of supervised learning. These innovations result in technologies that are significantly more cost-effective, ultimately lowering development expenses for our clients. Our product lineup features Helm.ai's all-encompassing scene vision-based semantic segmentation, which is integrated with Lidar SLAM outputs from Ouster for optimal functionality. We enable L2+ autonomous driving capabilities with Helm.ai on major highways, including 280, 92, and 101, which offer advanced features like lane-keeping and adaptive cruise control (ACC) lane changes. Moreover, Helm.ai stands out in pedestrian segmentation, applying key-point prediction techniques to bolster safety measures. This includes the ability to perform sophisticated pedestrian segmentation and precise keypoint detection even in adverse weather conditions such as rain, where we address corner cases and fuse Lidar with vision for the best possible performance. Our comprehensive scene semantic segmentation also considers various road features such as botts dots and faded lane markings, ensuring dependable operation in a range of driving environments. With an unwavering commitment to continuous innovation, we strive to push the limits of what autonomous driving technology can accomplish and remain dedicated to improving user experience and safety on the roads.