2 citations · 2 across the 1 of their papers we have counts for
6 papers · 1 filter
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting
Ankit Laddha, Shivam Gautam, Gregory P. Meyer +2
Robust real-time detection and motion forecasting of traffic participants is necessary for autonomous vehicles to safely navigate urban environments. In this paper, we present RV-F…
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles
Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez +1
Accurate motion state estimation of Vulnerable Road Users (VRUs), is a critical requirement for autonomous vehicles that navigate in urban environments. Due to their computational…
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
Gregory P. Meyer, Jake Charland, Shreyash Pandey +4
In this work, we present LaserFlow, an efficient method for 3D object detection and motion forecasting from LiDAR. Unlike the previous work, our approach utilizes the native range…
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
Gregory P. Meyer, Niranjan Thakurdesai
The capability to detect objects is a core part of autonomous driving. Due to sensor noise and incomplete data, perfectly detecting and localizing every object is infeasible. There…
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
Gregory P. Meyer, Jake Charland, Darshan Hegde +2
In this paper, we present an extension to LaserNet, an efficient and state-of-the-art LiDAR based 3D object detector. We propose a method for fusing image data with the LiDAR data…
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
Gregory P. Meyer, Ankit Laddha, Eric Kee +2
In this paper, we present LaserNet, a computationally efficient method for 3D object detection from LiDAR data for autonomous driving. The efficiency results from processing LiDAR…