2 papers
cs.CV2023
NVAutoNet: Fast and Accurate 360 3D Visual Perception For Self Driving
Trung Pham, Mehran Maghoumi, Wanli Jiang +9
Achieving robust and real-time 3D perception is fundamental for autonomous vehicles. While most existing 3D perception methods prioritize detection accuracy, they often overlook cr…
cs.CV2020
Explainable Object-induced Action Decision for Autonomous Vehicles
Yiran Xu, Xiaoyin Yang, Lihang Gong +4
A new paradigm is proposed for autonomous driving. The new paradigm lies between the end-to-end and pipelined approaches, and is inspired by how humans solve the problem. While it…