Jan 28, 2022 · Results over the past decade demonstrate that PVAS can effectively guide the collection of long-tail data to diminish the cost in the real world ...

Then we present a Parallel Vision Actualization System (PVAS), which consists of closed-loop optimization and virtual-real interaction, to search for ...

Transactions on Intelligent Vehicles. 1. Parallel Vision for Long-Tail Regularization: Initial. Results from IVFC Autonomous Driving Testing. Jiangong Wang ...

Oct 22, 2024 · Then we present a Parallel Vision Actualization System (PVAS), which consists of closed-loop optimization and virtual-real interaction, to ...

Long-tail effect is characterized by highly frequent occurrence of normal scenarios and the scarce appearance of extreme long-tail scenarios.

Parallel Vision for Long-Tail Regularization: Initial Results From IVFC Autonomous Driving Testing ... Authors: Jiangong Wang; Xiao Wang; Tianyu Shen; Yutong Wang ...

Parallel Vision for Long-Tail Regularization: Initial Results From IVFC Autonomous Driving Testing · Article. June 2022. ·. 37 Reads. ·. 75 Citations. IEEE ...

Parallel Vision for Long-Tail Regularization: Initial Results From IVFC Autonomous Driving Testing · pdf icon · hmtl icon · Jiangong Wang, Xiao Wang, Tianyu ...

Jun 5, 2024 · Parallel vision for long-tail regularization: initial results from IVFC autonomous driving testing. IEEE Trans. Intell. Veh. 7, 286–299 ...

Dec 27, 2023 · Wu et al., “Parallel vision for long-tail regularization: Initial results from IVFC autonomous driving testing,” IEEE Transactions on ...