English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This report presents our Le3DE2E_Occ solution for 4D Occupancy Forecasting inArgoverse Challenges at CVPR 2023 Workshop on Autonomous Driving (WAD). Oursolution consists of a strong LiDAR-based Bird's Eye View (BEV) encoder withtemporal fusion and a two-stage decoder, which combines a DETR head and a UNetdecoder. The solution was tested on the Argoverse 2 sensor dataset to evaluatethe occupancy state 3 seconds in the future. Our solution achieved 18% lower L1Error (3.57) than the baseline and got the 1 place on the 4D OccupancyForecasting task in Argoverse Challenges at CVPR 2023.

Technical Report for Argoverse Challenges on 4D Occupancy Forecasting