1 citations · 1 across the 7 of their papers we have counts for
7 papers
OpenLongTail: Generative Scaling of Long-Tail Driving Data
Lulin Liu, Nuo Chen, Yan Wang +15
Scaling robust driving policies is fundamentally bottlenecked by the scarcity of edge cases in curated datasets. While the real world continuously captures these critical events, s…
Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes
Kaicong Huang, Talha Azfar, Weisong Shi +1
Reliable autonomous driving relies on large-scale, well-labeled data and robust models. However, manual data collection is resource-intensive, and traditional simulation suffers fr…
ICanC: Improving Camera-based Object Detection and Energy Consumption in Low-Illumination Environments
Daniel Ma, Ren Zhong, Weisong Shi
This paper introduces ICanC (pronounced "I Can See"), a novel system designed to enhance object detection and optimize energy efficiency in autonomous vehicles (AVs) operating in l…
Slope Considered Online Nonlinear Trajectory Planning with Differential Energy Model for Autonomous Driving
Zhaofeng Tian, Lichen Xia, Weisong Shi
Achieving energy-efficient trajectory planning for autonomous driving remains a challenge due to the limitations of model-agnostic approaches. This study addresses this gap by intr…
EMATO: Energy-Model-Aware Trajectory Optimization for Autonomous Driving
Zhaofeng Tian, Lichen Xia, Weisong Shi
Autonomous driving lacks strong proof of energy efficiency with the energy-model-agnostic trajectory planning. To achieve an energy consumption model-aware trajectory planning for…
ICAT: An Indoor Connected and Autonomous Testbed for Vehicle Computing
Zhaofeng Tian, William He, Boyang Tian +3
Indoor autonomous driving testbeds have emerged to complement expensive outdoor testbeds and virtual simulations, offering scalable and cost-effective solutions for research in nav…
Autonomous Shuttle Operation for Vulnerable Populations: Lessons and Experiences
Ren Zhong, Zhaofeng Tian, Jinghui Liao +1
The increasing shortage of drivers poses a significant threat to vulnerable populations, particularly seniors and disabled individuals who heavily depend on public transportation f…