25 matches found
Beyond Direct Sensing: Harnessing Indirect Observations from Third-Party Sensors in Vehicle Tracking
Vehicle tracking is fundamental to applications ranging from urban mobility and public safety to security and defense. Conventional tracking relies on direct access to sensors that provide strong observations such as vehicle identity and location. In practice, however, factors such as ownership,...
autotsf (>=0.0.5, <=0.0.8), carla-recourse (>=0.0.4, <=0.0.5) +15 more potentially affected by CVE-2026-12570 via keras (2.3.0)
keras PYPI version 2.3.0 is affected by a known vulnerability. The following packages have a transitive dependency on keras and may be impacted: - autotsf =0.0.5, =0.0.4, =1.0.0, =0.0.1, =0.4.2rc0, =0.4.1, =0.2.4, =0.6.4, =0.6.7 and more Source cves: CVE-2026-12570 Source advisory:...
autotsf (>=0.0.5, <=0.0.8), carla-recourse (>=0.0.4, <=0.0.5) +15 more potentially affected by CVE-2026-9335 via keras (2.3.0)
keras PYPI version 2.3.0 is affected by a known vulnerability. The following packages have a transitive dependency on keras and may be impacted: - autotsf =0.0.5, =0.0.4, =1.0.0, =0.0.1, =0.4.2rc0, =0.4.1, =0.2.4, =0.6.4, =0.6.7 and more Source cves: CVE-2026-9335 Source advisory:...
autotsf (>=0.0.5, <=0.0.8), carla-recourse (>=0.0.4, <=0.0.5) +15 more potentially affected by CVE-2026-1462 via keras (2.3.0)
keras PYPI version 2.3.0 is affected by a known vulnerability. The following packages have a transitive dependency on keras and may be impacted: - autotsf =0.0.5, =0.0.4, =1.0.0, =0.0.1, =0.4.2rc0, =0.4.1, =0.2.4, =0.6.4, =0.6.7 and more Source cves: CVE-2026-1462 Source advisory:...
Physical ID-Transfer Attacks against Multi-Object Tracking Via Adversarial Trajectory
Multi-Object Tracking MOT is a critical task in computer vision, with applications ranging from surveillance systems to autonomous driving. However, threats to MOT algorithms have yet been widely studied. In particular, incorrect association between the tracked objects and their assigned IDs can...
End-To-End Co-Simulation Testbed for Cybersecurity Research and Development in Intelligent Transportation Systems
Intelligent Transportation Systems ITS have been widely deployed across major metropolitan regions worldwide to improve roadway safety, optimize traffic flow, and reduce environmental impacts. These systems integrate advanced sensors, communication networks, and data analytics to enable real-time...
Malicious code in fca-carla (npm)
The package fca-carla was found to contain malicious code...
MAL-2025-20290 Malicious code in fca-carla (npm)
The package fca-carla was found to contain malicious code...
Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging
The rapid advancements in autonomous vehicle AV technology promise enhanced safety and operational efficiency. However, frequent lane changes and merging maneuvers continue to pose significant safety risks and disrupt traffic flow. This paper introduces the Minimizing Lane Change Algorithm MLCA, ...
CVE-2024-33903
In CARLA through 0.9.15.2, the collision sensor mishandles some situations involving pedestrians or bicycles, in part because the collision sensor function is not exposed to the Blueprint library...
ai-traineree (0.0.12), alphad3m (>=0.10.0.dev0, <=0.10.0.dev1) +40 more potentially affected by CVE-2025-2149 via torch (1.7.0)
torch PYPI version 1.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on torch and may be impacted: - ai-traineree 0.0.12 - alphad3m =0.10.0.dev0, =0.0.1, =0.0.4, =0.2.3, =0.0.1, =2022.3.22, =0.0.0, =0.2.0a5, =0.0.1, =0.3.0 and more Source cves:...
CVE-2024-33903
In CARLA through 0.9.15.2, the collision sensor mishandles some situations involving pedestrians or bicycles, in part because the collision sensor function is not exposed to the Blueprint library...
CVE-2024-33903
In CARLA through 0.9.15.2, the collision sensor mishandles some situations involving pedestrians or bicycles, in part because the collision sensor function is not exposed to the Blueprint library...
CARLA Simulator 安全漏洞
CARLA Simulator is a CARLA open source simulator for autonomous driving research. A security vulnerability exists in CARLA Simulator version 0.9.15.2 and prior versions, which stems from the collision sensor functionality not being disclosed to the Blueprint Library...
CVE-2024-33903
The CARLA open source simulator (versions 0.9.15.2 and earlier ) contains a vulnerability where the collision sensor mishandles specific situations involving pedestrians or bicycles. The root cause is that the collision sensor function is not exposed to the Blueprint library , leading to a Protec...
CVE-2024-33903
In CARLA through 0.9.15.2, the collision sensor mishandles some situations involving pedestrians or bicycles, in part because the collision sensor function is not exposed to the Blueprint library...
CVE-2024-33903
In CARLA through 0.9.15.2, the collision sensor mishandles some situations involving pedestrians or bicycles, in part because the collision sensor function is not exposed to the Blueprint library...
CVE-2024-33903
In CARLA through 0.9.15.2, the collision sensor mishandles some situations involving pedestrians or bicycles, in part because the collision sensor function is not exposed to the Blueprint library...
CVE-2024-33903: Protection Mechanism Failure
In CARLA through 0.9.15.2, the collision sensor mishandles some situations involving pedestrians or bicycles, in part because the collision sensor function is not exposed to the Blueprint library...
PT-2024-25538 · Carla · Carla
Name of the Vulnerable Software and Affected Versions: CARLA versions 0.9.15.2 and earlier Description: The collision sensor in CARLA mishandles certain situations involving pedestrians or bicycles. This issue arises because the collision sensor function is not exposed to the Blueprint library...