Important Object Identification with Semi-Supervised Learning for Autonomous Driving

no code implementations • 5 Mar 2022 • Jiachen Li, Haiming Gang, Hengbo Ma, Masayoshi Tomizuka, Chiho Choi

We propose a novel approach for important object identification in egocentric driving scenarios with relational reasoning on the objects in the scene.

Autonomous Driving Binary Classification +5

Semi-supervised 3D Object Detection via Temporal Graph Neural Networks

no code implementations • 1 Feb 2022 • Jianren Wang, Haiming Gang, Siddharth Ancha, Yi-Ting Chen, David Held

However, these detectors usually require training on large amounts of annotated data that is expensive and time-consuming to collect.

3D Object Detection Autonomous Driving +1

LOKI: Long Term and Key Intentions for Trajectory Prediction

no code implementations • ICCV 2021 • Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi

We also propose a model that jointly performs trajectory and intention prediction, showing that recurrently reasoning about intention can assist with trajectory prediction.

Autonomous Driving Trajectory Prediction

The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes

no code implementations • 4 Mar 2019 • Abhishek Patil, Srikanth Malla, Haiming Gang, Yi-Ting Chen

Finally, sources of errors are discussed for the development of future algorithms.

3D Object Detection Object +2