English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Realistic simulation is key to enabling safe and scalable development of %self-driving vehicles. A core component is simulating the sensors so that theentire autonomy system can be tested in simulation. Sensor simulation involvesmodeling traffic participants, such as vehicles, with high quality appearanceand articulated geometry, and rendering them in real time. The self-drivingindustry has typically employed artists to build these assets. However, this isexpensive, slow, and may not reflect reality. Instead, reconstructing assetsautomatically from sensor data collected in the wild would provide a betterpath to generating a diverse and large set with good real-world coverage.Nevertheless, current reconstruction approaches struggle on in-the-wild sensordata, due to its sparsity and noise. To tackle these issues, we present CADSim,which combines part-aware object-class priors via a small set of CAD modelswith differentiable rendering to automatically reconstruct vehicle geometry,including articulated wheels, with high-quality appearance. Our experimentsshow our method recovers more accurate shapes from sparse data compared toexisting approaches. Importantly, it also trains and renders efficiently. Wedemonstrate our reconstructed vehicles in several applications, includingaccurate testing of autonomy perception systems.

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation