3 accepted papers
Global path planning provides high-level guidance for autonomous navigation, supplying reference paths for downstream navigation and control modules. Deep Reinforcement Learning (DRL) has shown strong potential in this domain, but existing methods struggle with multi-scale map inputs. This limitatio…
Accurate IP geolocation is crucial for location-aware applications. While recent advances in router-centric IP graph methods have garnered attention, they face two persistent challenges: (1) the sparsity problem of IP graphs in rural areas and (2) the limited explainability of current IP geolocation…
Accurate IP geolocation is indispensable for location-aware applications. While recent advances based on router-centric IP graphs are considered cutting-edge, one challenge remain: the prevalence of sparse IP graphs (14.24% with fewer than 10 nodes, 9.73% isolated) limits graph learning. To mitigate…