40 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.CV2026★ 40 cited
Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion
Oskar Natan, Jun Miura
We present a novel compact deep multi-task learning model to handle various autonomous driving perception tasks in one forward pass. The model performs multiple views of semantic s…
cs.RO2026
Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation
Oskar Natan, Jun Miura
We present Seq-DeepIPC, a sequential end-to-end perception-to-control model for legged robot navigation in real-world environments. Seq-DeepIPC advances intelligent sensing for aut…
cs.RO2026
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
Oskar Natan, Jun Miura
We propose DeepIPCv2, an end-to-end autonomous driving framework that integrates LiDAR-based environmental perception with command-specific control learning. Unlike prior camera-re…