96 citations · 127 across the 7 of their papers we have counts for
8 papers
Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perception
Spencer Carmichael, Austin Buchan, Mani Ramanagopal +3
Conventional cameras employed in autonomous vehicle (AV) systems support many perception tasks, but are challenged by low-light or high dynamic range scenes, adverse weather, and f…
LONER: LiDAR Only Neural Representations for Real-Time SLAM
Seth Isaacson, Pou-Chun Kung, Mani Ramanagopal +2
This paper proposes LONER, the first real-time LiDAR SLAM algorithm that uses a neural implicit scene representation. Existing implicit mapping methods for LiDAR show promising res…
WaterNeRF: Neural Radiance Fields for Underwater Scenes
Advaith Venkatramanan Sethuraman, Manikandasriram Srinivasan Ramanagopal, Katherine A. Skinner
Underwater imaging is a critical task performed by marine robots for a wide range of applications including aquaculture, marine infrastructure inspection, and environmental monitor…
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations
Alexandra Carlson, Manikandasriram Srinivasan Ramanagopal, Nathan Tseng +3
Recent advances in neural radiance fields (NeRFs) achieve state-of-the-art novel view synthesis and facilitate dense estimation of scene properties. However, NeRFs often fail for l…
Pixel-Wise Motion Deblurring of Thermal Videos
Manikandasriram Srinivasan Ramanagopal, Zixu Zhang, Ram Vasudevan +1
Uncooled microbolometers can enable robots to see in the absence of visible illumination by imaging the "heat" radiated from the scene. Despite this ability to see in the dark, the…
LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery
Junming Zhang, Manikandasriram Srinivasan Ramanagopal, Ram Vasudevan +1
An accurate depth map of the environment is critical to the safe operation of autonomous robots and vehicles. Currently, either light detection and ranging (LIDAR) or stereo matchi…
PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections
Wonhui Kim, Manikandasriram Srinivasan Ramanagopal, Charles Barto +5
This paper presents a novel dataset titled PedX, a large-scale multimodal collection of pedestrians at complex urban intersections. PedX consists of more than 5,000 pairs of high-r…
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
Manikandasriram Srinivasan Ramanagopal, Cyrus Anderson, Ram Vasudevan +1
One of the major open challenges in self-driving cars is the ability to detect cars and pedestrians to safely navigate in the world. Deep learning-based object detector approaches…