6 accepted papers
This paper presents a three-dimensional discrete search path planner for fixed-wing aircraft emergency landing planning that manages state-space complexity by incorporating cost gradients to assure descent flight path angle and runway heading alignment constraints are met. Our approach incorporates
Exterior International Space Station (ISS) visual inspection currently requires astronaut extravehicular activity (EVA), a safety risk. Free-flying space robots can perform visual inspection but risk station collision and high astronaut overhead for teleoperation. Existing inspection planners do not
Pedestrian trajectory prediction is an essential task in robotic applications such as autonomous driving and robot navigation. State-of-the-art trajectory predictors use a conditional variational autoencoder (CVAE) with recurrent neural networks (RNNs) to encode observed trajectories and decode mult
This letter presents Polylidar, an efficient algorithm to extract non-convex polygons from 2D point sets, including interior holes. Plane segmented point clouds can be input into Polylidar to extract their polygonal counterpart, thereby reducing map size and improving visualization. The algorithm be
Predicting the future location of vehicles is essential for safety-critical applications such as advanced driver assistance systems (ADAS) and autonomous driving. This paper introduces a novel approach to simultaneously predict both the location and scale of target vehicles in the first-person (egoc…
Recognizing abnormal events such as traffic violations and accidents in natural driving scenes is essential for successful autonomous driving and advanced driver assistance systems. However, most work on video anomaly detection suffers from two crucial drawbacks. First, they assume cameras are fixed…