Search Results for author:
Found 7 papers, 2 papers with code
BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap
Specifically, we design the Pillar-based Shape Completion (PSC) module to predict the probability of occupancy whether a pillar contains object shapes.
Accurate and Robust Object-oriented SLAM with 3D Quadric Landmark Construction in Outdoor Environment
To solve this problem, we propose a quadric initialization method based on the decoupling of the quadric parameters method, which improves the robustness to observation noise.
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry
In this paper, with the assumption of a constant height of the camera above the ground, we develop a light-weight scale recovery framework leveraging an accurate and robust estimation of the ground plane.
Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition
In this paper, we propose an end-to-end visual place recognition network for event cameras, which can achieve good place recognition performance in challenging environments.
EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Object-level data association and pose estimation play a fundamental role in semantic SLAM, which remain unsolved due to the lack of robust and accurate algorithms.
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Conventional vision CNNs are driven by camera frames at constant sample rate, thus achieving a fixed latency and power consumption tradeoff.
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network
The CNN is trained and run on data from a Dynamic and Active Pixel Sensor (DAVIS) mounted on a Summit XL robot (the predator), which follows another one (the prey).
