Splines — Lane Lines and Curbs
Enhanced road safety with precision in lane line and curb annotation
Challenge
Safe autonomous vehicle navigation depends on the detailed annotation of road features like lane lines, road edges, and curbs and the ability of onboard mapping models to adapt to real-time road conditions and changes, like temporary lane lines or changes in road layout. The challenge lies in annotating road features in camera images using splines and polylines—annotations that underlie the base dataset for onboard mapping models. The better the annotations, the better the models can adapt to those changing conditions, which is why our client needed a workforce trained in precision spline annotations.
DDD’s Solution
DDD tackled the challenge by developing a specialized team of 50 annotators to annotate lane lines and road edges. We adopted new quality metrics, including points per line length, line continuity, and F1 scoring. In an ongoing engagement spanning more than two years, we now label more than 100,000 lines monthly and maintain more than 96% quality across all metrics.
Empowering real-time road analyses through advanced spline annotation.
Impact
The precision and reliability of our team’s spline annotation work allowed our client to complete a successful test in the first city and expand into several others. The expansion speaks to our client’s confidence in our ability to deliver reliable, accurate data. Thanks to the DDD team, our client’s cloud-driven mapping model seamlessly adapts and makes real-time adjustments based on road changes