10 accepted papers
Image-to-Video generation (I2V) animates a static image into a temporally coherent video sequence following textual instructions, yet preserving fine-grained object identity under changing viewpoints remains a persistent challenge. Unlike text-to-video models, existing I2V pipelines often suffer fro
Conversational aspect-based sentiment quadruple analysis, namely DiaASQ, aims to extract the quadruple of target-aspect-opinion-sentiment within a dialogue . In DiaASQ, a quadruple’s elements often cross multiple utterances. This situation complicates the extraction process, emphasizing the need for…
This paper presents the design, modeling and control of an Over-actuated Tilt-Octocopter vehicle (OTO) which can fly in any direction in an inclined attitude. The structure of octopus is designed, considering the flight efficiency and maneuverability of the vehicle with a general optimization method
Highly accurate sensor extrinsic calibration is critical for data fusion from multiple sensors, such as camera and Inertial Measurement Unit (IMU) sensor suit. A pre-calibrated extrinsics, however, may no longer be accurate due to external disturbances, e.g., vehicle vibration, which will lead to si
This paper presents an optimal time trajectory generation method for over-actuated multirotors. Different from underactuated multi-rotors that can only track a 4-D trajectory, over-actuated multi-rotors have the ability to track a 6-D trajectory. The proposed method can generate a 3-degree of freedo
Autonomous vehicles often rely on high-definition (HD) maps to navigate around. However, lane markings (LMs) are not necessarily static objects due to wear & tear from usage and road reconstruction & maintenance. Therefore, the wrong matching between LMs in the HD map and sensor readings may lead to…
We report a localization method that does not rely on the perception and recognition of landmarks for a robot/vehicle traveling in urban area. This is intended to be a fall back solution when everything else fails due to bad weather or other environmental challenges. The method is also very low cost
Existing autonomous vehicle (AV) navigation algorithms treat lane recognition, obstacle avoidance, local path planning, and lane following as separate functional modules which result in driving behavior that is incompatible with human drivers. It is imperative to design human-compatible navigation a…
Measuring the quality of roads and ensuring they are ready for autonomous driving is important for future transportation systems. Here we focus on developing metrics and algorithms to assess lane marking (LM)qualities from an egocentric view of an inspection vehicle equipped with a global positionin…
We propose a novel subsurface pipeline mapping method by fusing Ground Penetrating Radar (GPR) scans and camera images. To facilitate the simultaneous detection of multiple pipelines, we model the GPR sensing process and prove hyperbola response for general scanning with non-perpendicular angles. Fu…