Proceedings ArticleDOI
BBeep: A Sonic Collision Avoidance System for Blind Travellers and Nearby Pedestrians
Seita Kayukawa,Keita Higuchi,João Guerreiro,Shigeo Morishima,Yoichi Sato,Kris M. Kitani,Chieko Asakawa +6 more
- pp 52
TLDR
An assistive suitcase system for supporting blind people when walking through crowded environments using pre-emptive sound notifications, BBeep, and it is observed that the proposed system significantly reduces the number of imminent collisions.Abstract:
We present an assistive suitcase system, BBeep, for supporting blind people when walking through crowded environments. BBeep uses pre-emptive sound notifications to help clear a path by alerting both the user and nearby pedestrians about the potential risk of collision. BBeep triggers notifications by tracking pedestrians, predicting their future position in real-time, and provides sound notifications only when it anticipates a future collision. We investigate how different types and timings of sound affect nearby pedestrian behavior. In our experiments, we found that sound emission timing has a significant impact on nearby pedestrian trajectories when compared to different sound types. Based on these findings, we performed a real-world user study at an international airport, where blind participants navigated with the suitcase in crowded areas. We observed that the proposed system significantly reduces the number of imminent collisions.read more
Citations
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Posted Content
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
TL;DR: Surprisingly, although the proposed system does not use any 2D data as inputs, it achieves competitive performance on the KITTI 2D MOT leaderboard and runs at a rate of 207.4 FPS, achieving the fastest speed among all modern MOT systems.
Posted Content
A Baseline for 3D Multi-Object Tracking
Xinshuo Weng,Kris M. Kitani +1 more
TL;DR: This work proposes a simple yet accurate real-time baseline 3D MOT system, using an off-the-shelf 3D object detector to obtain oriented 3D bounding boxes from the LiDAR point cloud and using a combination of 3D Kalman filter and Hungarian algorithm for state estimation and data association.
Proceedings ArticleDOI
CaBot: Designing and Evaluating an Autonomous Navigation Robot for Blind People
TL;DR: The design of CaBot (Carry-on roBot), an autonomous suitcase-shaped navigation robot that is able to guide blind users to a destination while avoiding obstacles on their path is presented.
Journal ArticleDOI
A survey on Assistive Technology for visually impaired
TL;DR: A detailed comparative study of all the relevant devices developed for visually impaired persons has been presented which are wearable and handheld and the focus was on the prominent features of those devices.
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Joint Detection and Multi-Object Tracking with Graph Neural Networks
TL;DR: This work proposes a new approach for joint MOT based on Graph Neural Networks (GNNs), which can explicitly model complex interactions between multiple objects in both the spatial and temporal domains, essential for learning discriminative features for detection and data association.
References
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Activity forecasting
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