CalibSwitch: Observation-Driven Camera-LiDAR Extrinsic Recovery and Selective Maintenance for Multimodal Perception
Overview
This research presents CalibSwitch, an observation-driven framework that separates absolute extrinsic recovery from selective state maintenance for camera-LiDAR perception on mobile robots.
Generated from attributed reports · Updated 1 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · mean translation error: 0.248 other · Basis not reported
“d temporal history to determine when a candidate should replace the working geometry consumed by a frozen multimodal detector. On nuScenes, CAEG achieves mean translation and rotation errors of 0.248 m and 5.884$^\circ$. Under sustained geometric transitions, SRCP reaches a mean composite error of 1.46 with 9.70\% candidate commitments, outperforming quality-based and temporal-consistency gating at comparable commitm”
Exact source · revision 1Source owner not reported
Reported quantity · mean rotation error: 5.884 other · Basis not reported
“d temporal history to determine when a candidate should replace the working geometry consumed by a frozen multimodal detector. On nuScenes, CAEG achieves mean translation and rotation errors of 0.248 m and 5.884$^\circ$. Under sustained geometric transitions, SRCP reaches a mean composite error of 1.46 with 9.70\% candidate commitments, outperforming quality-based and temporal-consistency gating at comparable commitm”
Exact source · revision 1Source owner not reported
Reported quantity · mean composite error: 1.46 other · Basis not reported
“d temporal history to determine when a candidate should replace the working geometry consumed by a frozen multimodal detector. On nuScenes, CAEG achieves mean translation and rotation errors of 0.248 m and 5.884$^\circ$. Under sustained geometric transitions, SRCP reaches a mean composite error of 1.46 with 9.70\% candidate commitments, outperforming quality-based and temporal-consistency gating at comparable commitm”
Exact source · revision 1Source owner not reported
Reported quantity · mAP improvement: 1.43 other · Basis not reported
“ent rates. Relative to unconditional per-frame updating, it improves frozen-detector mAP and NDS by 1.43 and 0.92 points. Paired geometry--observation uncertainty tests, two real-vehicle platforms, and 13.5-FPS single-camera Jetson execution demonstrate the system value of selective geometric-state maintenance for continuous perception.”
Exact source · revision 1Source owner not reported
Reported quantity · NDS improvement: 0.92 other · Basis not reported
“ent rates. Relative to unconditional per-frame updating, it improves frozen-detector mAP and NDS by 1.43 and 0.92 points. Paired geometry--observation uncertainty tests, two real-vehicle platforms, and 13.5-FPS single-camera Jetson execution demonstrate the system value of selective geometric-state maintenance for continuous perception.”
Exact source · revision 1Source owner not reported
Reported quantity · execution frame rate: 13.5 other · Basis not reported
“ent rates. Relative to unconditional per-frame updating, it improves frozen-detector mAP and NDS by 1.43 and 0.92 points. Paired geometry--observation uncertainty tests, two real-vehicle platforms, and 13.5-FPS single-camera Jetson execution demonstrate the system value of selective geometric-state maintenance for continuous perception.”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalCalibSwitch: Observation-Driven Camera-LiDAR Extrinsic Recovery and Selective Maintenance for Multimodal Perception
This research presents CalibSwitch, an observation-driven framework that separates absolute extrinsic recovery from selective state maintenance for camera-LiDAR perception on mobile robots.
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