31 citations · 47 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 31 cited
Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level
Sebastian Huch, Luca Scalerandi, Esteban Rivera +1
LiDAR object detection algorithms based on neural networks for autonomous driving require large amounts of data for training, validation, and testing. As real-world data collection…
cs.RO2022★ 16 cited
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing
Phillip Karle, Ferenc Török, Maximilian Geisslinger +1
Reliably predicting the motion of contestant vehicles surrounding an autonomous racecar is crucial for effective and performant planning. Although highly expressive, deep neural ne…