Search Results for author:
Found 6 papers, 4 papers with code
Predicting Physical World Destinations for Commands Given to Self-Driving Cars
However, surveys have shown that giving more control to an AI in self-driving cars is accompanied by a degree of uneasiness by passengers.
Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?
This paper proposes a model that detects uncertain situations when a command is given and finds the visual objects causing it.
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
In this work, we deviate from recent, popular task settings and consider the problem under an autonomous vehicle scenario.
Ranked #3 on
Referring Expression Comprehension
on Talk2Car
A Baseline for the Commands For Autonomous Vehicles Challenge
The Commands For Autonomous Vehicles (C4AV) challenge requires participants to solve an object referral task in a real-world setting.
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding
We propose a new spatial memory module and a spatial reasoner for the Visual Grounding (VG) task.
Ranked #10 on
Referring Expression Comprehension
on Talk2Car
Talk2Car: Taking Control of Your Self-Driving Car
Or more specifically, we consider the problem in an autonomous driving setting, where a passenger requests an action that can be associated with an object found in a street scene.
