Akshay Rangesh — accepted AI-conference papers

2026

SPACeR: Self-Play Anchoring with Centralized Reference Models

Wei-Jer Chang, Akshay Rangesh, Kevin Joseph, Matthew Strong, Masayoshi Tomizuka, yihan hu +1

ICLR 2026poster

Developing autonomous vehicles (AVs) requires not only safety and efficiency, but also realistic, human-like behaviors that are socially aware and predictable. Achieving this requires sim agent policies that are human-like, fast, and scalable in multi-agent settings. Recent progress in imitation lea…

Cited by 0 Source ↗Scholar ↗

2021

LaneAF: Robust Multi-Lane Detection With Affinity Fields

Hala Abualsaud, Sean Liu, David Lu, Kenny Situ, Akshay Rangesh, Mohan M. Trivedi

RA-L 2021

This study presents an approach to lane detection involving the prediction of binary segmentation masks and per-pixel affinity fields. These affinity fields, along with the binary masks, can then be used to cluster lane pixels horizontally and vertically into corresponding lane instances in a post-p

Cited by 143 Source ↗code ↗Scholar ↗