Driver-centric Risk Object Identification

06/24/2021
by   Chengxi Li, et al.
0

A massive number of traffic fatalities are due to driver errors. To reduce fatalities, developing intelligent driving systems assisting drivers to identify potential risks is in urgent need. Risky situations are generally defined based on collision prediction in existing research. However, collisions are only one type of risk in traffic scenarios. We believe a more generic definition is required. In this work, we propose a novel driver-centric definition of risk, i.e., risky objects influence driver behavior. Based on this definition, a new task called risk object identification is introduced. We formulate the task as a cause-effect problem and present a novel two-stage risk object identification framework, taking inspiration from models of situation awareness and causal inference. A driver-centric Risk Object Identification (ROI) dataset is curated to evaluate the proposed system. We demonstrate state-of-the-art risk object identification performance compared with strong baselines on the ROI dataset. In addition, we conduct extensive ablative studies to justify our design choices.

READ FULL TEXT

page 8

page 10

page 12

research
03/05/2020

Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference

We propose a framework based on causal inference for risk object identif...
research
06/06/2023

Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning

Driver support systems that include human states in the support process ...
research
01/02/2023

Learning Road Scene-level Representations via Semantic Region Prediction

In this work, we tackle two vital tasks in automated driving systems, i....
research
03/13/2023

Intersection Warning System for Occlusion Risks using Relational Local Dynamic Maps

This work addresses the task of risk evaluation in traffic scenarios wit...
research
10/29/2021

Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism

Situation awareness (SA) is generally considered as the perception, unde...
research
03/14/2023

Proactive Risk Navigation System for Real-World Urban Intersections

We consider the problem of intelligently navigating through complex traf...
research
07/15/2022

Glucose Control, Sleep, Obesity, and Real-World Driver Safety at Stop Intersections in Type 1 Diabetes

Background: Diabetes is associated with obesity, poor glucose control an...

Please sign up or login with your details

Forgot password? Click here to reset