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Neşet Ünver Akmandor

2 accepted papers

2023

StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks

ICRA 2023poster

Obstacle detection is a safety-critical problem in robot navigation, where stereo matching is a popular vision-based approach. While deep neural networks have shown impressive results in computer vision, most of the previous obstacle detection works only leverage traditional stereo matching techniqu…

Cited by 19SourceScholar
2022

Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives

IROS 2022poster

This paper presents a Deep Reinforcement Learning based navigation approach in which we define the occu-pancy observations as heuristic evaluations of motion primitives, rather than using raw sensor data. Our method enables fast mapping of the occupancy data, generated by multi-sensor fusion, into t…

Cited by 17SourcecodeScholar