AI summary · arXiv: 2109.10457v1 · cs.RO
Infrastructure Node-based Vehicle Localization for Autonomous Driving
The essentials
- Vehicle localization is crucial for autonomous vehicle navigation and ADAS
- Current methods for accurate vehicle localization are expensive and may not always be reliable
- The paper proposes a framework that combines information from a smart infrastructure node (ix-node) with the onboard localization engine of AVs
- The ix-node enhances perception capability, especially when onboard sensors are obstructed by objects in the environment
- By utilizing ix-node data, the proposed framework improves localization accuracy even with cheap inertial sensors
- This fusion eliminates the need for expensive inertial navigation systems or computationally intensive vision processing onboard AVs
- Experimental results show that incorporating ix-node data significantly enhances localization performance
- The paper presents a novel solution for robust and accurate vehicle localization in autonomous driving scenarios by leveraging smart infrastructure nodes and fusing their perception output with low-cost inertial sensors.
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