Search Results for author: Jingyu Song

Found 4 papers, 2 papers with code

CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation

no code implementations28 Mar 2024 Lingjun Zhao, Jingyu Song, Katherine A. Skinner

Alternatively, camera and radar are commonly deployed on vehicles already on the road today, but performance of Camera-Radar (CR) fusion falls behind LC fusion.

3D Object Detection Autonomous Driving +3

LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection

no code implementations18 Feb 2024 Jingyu Song, Lingjun Zhao, Katherine A. Skinner

We propose LiRaFusion to tackle LiDAR-radar fusion for 3D object detection to fill the performance gap of existing LiDAR-radar detectors.

3D Object Detection object-detection

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping

2 code implementations21 Sep 2022 Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

Robotic perception is currently at a cross-roads between modern methods, which operate in an efficient latent space, and classical methods, which are mathematically founded and provide interpretable, trustworthy results.

Bayesian Inference

MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments

1 code implementation14 Mar 2022 Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes.

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