activity
20172022
most citedCAAD: Computer Architecture for Autonomous Driving

23 citations · 158 across the 38 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.DC2018★ 17 cited

PI-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services

Jie Tang, Shaoshan Liu, Bo Yu +1

To simultaneously enable multiple autonomous driving services on affordable embedded systems, we designed and implemented π-Edge, a complete edge computing framework for autonomous…

cs.DC2018★ 1 cited

CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles

Yifan Wang, Shaoshan Liu, Xiaopei Wu +1

Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of attention both from researchers and industry. Numerous studies targeting algorithms, softwa…

cs.CV2018★ 5 cited

Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry using Points and Lines

Feng Zheng, Grace Tsai, Zhe Zhang +3

In this paper, we present the Trifo Visual Inertial Odometry (Trifo-VIO), a tightly-coupled filtering-based stereo VIO system using both points and lines. Line features help improv…

cs.CY2018★ 3 cited

Teaching Autonomous Driving Using a Modular and Integrated Approach

Jie Tang, Shaoshan Liu, Songwen Pei +4

Autonomous driving is not one single technology but rather a complex system integrating many technologies, which means that teaching autonomous driving is a challenging task. Indee…

cs.RO2018★ 5 cited

PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures

Liu Liu, Shaoshan Liu, Zhe Zhang +3

Enabling full robotic workloads with diverse behaviors on mobile systems with stringent resource and energy constraints remains a challenge. In recent years, attempts have been mad…