Presentation
38. Controllable Neural Reconstruction for Autonomous Driving
DescriptionWe introduce an automated pipeline designed for training neural reconstruction models by leveraging sensor streams gathered from a data collection vehicle. Subsequently, our simulator, aiSim, is employed to generate a controllable virtual counterpart of the real-world environment, enabling the replay of scenes in a closed-loop fashion.
Event Type
Poster
TimeSunday, 28 July 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
Session Time & Location
Full Conference
Full Conference Supporter
Experience
Exhibitor Full Conference
Exhibitor Experience