User-Adaptive Brake Assist System for Rolling Walkers

Rolling walkers are popular mobility aids for older adults. A rolling walker usually has two swivel front wheels and two non-swivel rear wheels. It is designed to improve stability while walking and reduce the risk of falling. However, a considerable number of users have come close to or experienced falling. We developed a user-adaptive brake assist system for the walker. In the system, the usage of a walker is modeled in combination with the walking speed and the distance from the walker to the user. A brake pattern is generated based on usage data interpolated using the inverse distance weighting method. The pattern is referenced to activate brakes with the corresponding strength while walking. The applicability was confirmed by analyzing the walking data of two older adults, and the usability was positively evaluated in experiments with seven young adults wearing elderly simulation suits.

Centralised and Decentralised Sensor Fusion-Based Emergency Brake Assist

Many advanced driver assistance systems (ADAS) are currently trying to utilise multi-sensor architectures, where the driver assistance algorithm receives data from a multitude of sensors. As mono-sensor systems cannot provide reliable and consistent readings under all circumstances because of errors and other limitations, fusing data from multiple sensors ensures that the environmental parameters are perceived correctly and reliably for most scenarios, thereby substantially improving the reliability of the multi-sensor-based automotive systems. This paper first highlights the significance of efficiently fusing data from multiple sensors in ADAS features. An emergency brake assist (EBA) system is showcased using multiple sensors, namely, a light detection and ranging (LiDAR) sensor and camera. The architectures of the proposed ‘centralised’ and ‘decentralised’ sensor fusion approaches for EBA are discussed along with their constituents, i.e., the detection algorithms, the fusion algorithm, and the tracking algorithm. The centralised and decentralised architectures are built and analytically compared, and the performance of these two fusion architectures for EBA are evaluated in terms of speed of execution, accuracy, and computational cost. While both fusion methods are seen to drive the EBA application at an acceptable frame rate (~20fps or higher) on an Intel i5-based Ubuntu system, it was concluded through the experiments and analytical comparisons that the decentralised fusion-driven EBA leads to higher accuracy; however, it has the downside of a higher computational cost. The centralised fusion-driven EBA yields comparatively less accurate results, but with the benefits of a higher frame rate and lesser computational cost.

Design and Experimental Study of a New Vehicle Brake-Assist Mechanism

The brake system plays a key role in the vehicle safety system. The drivers usually cannot depress the brake pedal immediately in emergencies. A new vehicle brake-assist mechanism using the transmission principle of the clutch is designed to solve this problem. This mechanism can automatically assist drivers to handle the emergency when they failed to brake in time. Thus, the danger can be avoided initiatively. Through experiment, the reliability and effectiveness of the actuator is proved. Compared to manual brake, the designed mechanism can be more exact and rapid.