EUVD-2026-75873

An issue in ZJU-FAST-Lab EGO-Planner-v2 All versions up to commit 5c99a95880401e2599638d567abc0e240396cb42 allows unsafe vehicle motion via improper handling of expired trajectory data in the replanning pipeline...

CVE-2026-71640

An issue in ZJU-FAST-Lab EGO-Planner-v2 All versions up to commit 5c99a95880401e2599638d567abc0e240396cb42 allows unsafe vehicle motion via improper handling of expired trajectory data in the replanning pipeline...

PT-2026-89603

Name of the Vulnerable Software and Affected Versions ZJU-FAST-Lab EGO-Planner-v2 versions prior to commit 5c99a95880401e2599638d567abc0e240396cb42 Description Improper handling of expired trajectory data within the replanning pipeline can lead to unsafe vehicle motion. Recommendations Update to...

CVE-2026-71640: Improper Check or Handling of Exceptional Conditions

An issue in ZJU-FAST-Lab EGO-Planner-v2 All versions up to commit 5c99a95880401e2599638d567abc0e240396cb42 allows unsafe vehicle motion via improper handling of expired trajectory data in the replanning pipeline...

CVE-2026-71640

An issue in ZJU-FAST-Lab EGO-Planner-v2 All versions up to commit 5c99a95880401e2599638d567abc0e240396cb42 allows unsafe vehicle motion via improper handling of expired trajectory data in the replanning pipeline...

CVE-2026-71640

The ZJU-FAST-Lab EGO-Planner-v2 software is affected by a vulnerability in all versions up to commit 5c99a95880401e2599638d567abc0e240396cb42 . The root cause is the improper handling of expired trajectory data within the replanning pipeline, which can lead to unsafe vehicle motion . Exploitation...

CVE-2026-71640

An issue in ZJU-FAST-Lab EGO-Planner-v2 All versions up to commit 5c99a95880401e2599638d567abc0e240396cb42 allows unsafe vehicle motion via improper handling of expired trajectory data in the replanning pipeline...

FedTDP: a Privacy-Preserving and Unified Framework for Trajectory Data Preparation Via Federated Learning

Trajectory data, which capture the movement patterns of people and vehicles over time and space, are crucial for applications like traffic optimization and urban planning. However, issues such as noise and incompleteness often compromise data quality, leading to inaccurate trajectory analyses and...