Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry
Low-cost unmanned ground vehicles are often used in indoor places like warehouses, inspection corridors, and farm rows, where painted floor lines guide the robot. Line following is useful because it only needs one camera and little computing power, but it can fail when the line is blocked or turns sharply and goes out of view. Sensor-rich platforms tolerate this through hardware redundancy (LiDAR, GPS, multiple cameras), but camera-only systems must recover at runtime with no additional infrastructure. This paper presents a lightweight, two-stage recovery approach that restores guideline track
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- PossiblePossibly related (embedding) · 51%autowarefoundation/autoware_vision_pilot →
- PossiblePossibly related (embedding) · 47%Showcase: geolocating a dashcam video without GPS, only from the footage [P] →
- PossiblePossibly related (embedding) · 45%Ground Robots Inherit the Kill Zone →
- LinkedLinked via arxiv author · 85%Jakob Solberg Berntzen →
“Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry”
- LinkedLinked via arxiv author · 85%Safia Fatima →
“Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry”
- LinkedLinked via arxiv author · 85%Leon Moonen →
“Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry”