5 accepted papers
In the field of motion planning for autonomous driving systems, ensuring the safety of multi-vehicle navigation is one of the crucial topics. An unavoidable problem in practice is that the noise-induced uncertainties in real-world applications highly degrade the safety of multi-vehicle navigation. I
Adversarial attack adds an imperceptible perturbation on images to fool a model. Though existing adversarial attack methods have demonstrated great success in image classification tasks, they suffer inferior attack performances on object detection. We find that there exists multi-target gradient con…
Drift and scale ambiguity are two main issues which reduce localization accuracy in monocular visual odometry (MVO). It is necessary to propose a unified model to represent these measurement uncertainties. In this paper, we present a geometric map-assisted localization approach for mobile robots equ
In this paper, we introduce a novel control scheme based on the social force model for robots navigating in human environments. Social proxemics potential field is constructed based on the theory of proxemics and used to generate social interaction force for design of robot motion control. A combine
Central catadioptric omnidirectional images exhibit serious nonlinear distortions due to quadratic mirrors involved. Conventional visual features developed based on the perspective model are hard to achieve a satisfactory performance when directly applied to the distorted omnidirectional image. This…