Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks
In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite
various prior studies on its security issues, all of them only consider attacks on camera-or …
various prior studies on its security issues, all of them only consider attacks on camera-or …
Fault detection, isolation, identification and recovery (fdiir) methods for automotive perception sensors including a detailed literature survey for lidar
Perception sensors such as camera, radar, and lidar have gained considerable popularity in
the automotive industry in recent years. In order to reach the next step towards automated …
the automotive industry in recent years. In order to reach the next step towards automated …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
A secure robot learning framework for cyber attack scheduling and countermeasure
The problem of learning-based control for robots has been extensively studied, whereas the
security issue under malicious adversaries has not been paid much attention to. Malicious …
security issue under malicious adversaries has not been paid much attention to. Malicious …
Virtual obstacles for sensors incapacitation in robot navigation: A systematic review of 2D path planning
The field of mobile robot (MR) navigation with obstacle avoidance has largely focused on
real, physical obstacles as the sole external causative agent for navigation impediment. This …
real, physical obstacles as the sole external causative agent for navigation impediment. This …
Real-time attack-recovery for cyber-physical systems using linear approximations
Attack detection and recovery are fundamental elements for the operation of safe and
resilient cyber-physical systems. Most of the literature focuses on attack-detection, while …
resilient cyber-physical systems. Most of the literature focuses on attack-detection, while …
Pid-piper: Recovering robotic vehicles from physical attacks
Robotic Vehicles (RV) rely extensively on sensor inputs to operate autonomously. Physical
attacks such as sensor tampering and spoofing can feed erroneous sensor measurements …
attacks such as sensor tampering and spoofing can feed erroneous sensor measurements …
General flow as foundation affordance for scalable robot learning
We address the challenge of acquiring real-world manipulation skills with a scalable
framework. Inspired by the success of large-scale auto-regressive prediction in Large …
framework. Inspired by the success of large-scale auto-regressive prediction in Large …
Learning based anomaly detection for industrial arm applications
V Narayanan, RB Bobba - Proceedings of the 2018 Workshop on Cyber …, 2018 - dl.acm.org
Smart Manufacturing (SM) is envisioned to make manufacturing processes more efficient
through automation and integration of networked information systems. Robotic arms are …
through automation and integration of networked information systems. Robotic arms are …
Secure pose estimation for autonomous vehicles under cyber attacks
In this paper, we address the problem of secure pose estimation of an autonomous vehicle
(AV) under cyber attacks. An extended Kalman filter (EKF) is used to fuse measurements …
(AV) under cyber attacks. An extended Kalman filter (EKF) is used to fuse measurements …