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

We present an autonomous navigation system that operates without assuming HDLiDAR maps of the environment. Our system, ALT-Pilot, relies only on publiclyavailable road network information and a sparse (and noisy) set of crowdsourcedlanguage landmarks. With the help of onboard sensors and a language-augmentedtopometric map, ALT-Pilot autonomously pilots the vehicle to any destination onthe road network. We achieve this by leveraging vision-language modelspre-trained on web-scale data to identify potential landmarks in a scene,incorporating vision-language features into the recursive Bayesian stateestimation stack to generate global (route) plans, and a reactive trajectoryplanner and controller operating in the vehicle frame. We implement andevaluate ALT-Pilot in simulation and on a real, full-scale autonomous vehicleand report improvements over state-of-the-art topometric navigation systems bya factor of 3x on localization accuracy and 5x on goal reachability

ALT-Pilot: Autonomous navigation with Language augmented Topometric maps