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cs.RO2024
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar, Qitao Weng, Bakhbyergyen Yerjan +2
Prior research has demonstrated the effectiveness of end-to-end deep learning for robotic navigation, where the control signals are directly derived from raw sensory data. However,…
cs.CV2024
VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks
Ahmet Soyyigit, Shuochao Yao, Heechul Yun
This work addresses the challenge of adapting dynamic deadline requirements for LiDAR object detection deep neural networks (DNNs). The computing latency of object detection is cri…