Advanced Driver Assitance System (ADAS)

Raviteja, Siram; Shanmughasundaram, R

doi:10.1109/iccons.2018.8663146

Cited by 26 publications

(4 citation statements)

References 12 publications

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“…If an ADAS algorithm needs to be run on a less-expensive embedded platform, which has lesser hardware resources (a smaller number of CPU and GPU cores and less cache and RAM), like a Cortex-M-based STM32 platform [ 55 , 56 ], and less accuracy of EBA is acceptable, OCSF shall prove to be a comparatively better option. However, if hardware resources and computational cost are not a concern, and the accuracy and precision of the ADAS algorithm utilising the fusion architecture is of the utmost importance, ODSF is a more favourable option for driving EBA [ 57 , 58 , 59 , 60 ].…”

Section: Discussionmentioning

confidence: 99%

Centralised and Decentralised Sensor Fusion-Based Emergency Brake Assist

Deo¹,

Palade

Huda

2021

Sensors

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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.

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Section: Discussionmentioning

confidence: 99%

Centralised and Decentralised Sensor Fusion-Based Emergency Brake Assist

Deo¹,

Palade

Huda

2021

Sensors

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“…ADAS has also been used to reduce the number of collisions in highways through cooperative collision avoidance (CCA) in [266]. Limitations of ADAS include low performance in severe weather and exclusive use in modern premium vehicles, making it a costly solution for ordinary users [267]. V2V communication can transmit data across surrounding vehicles and cover much greater distances.…”

Section: V2v Communication For Safety and Traffic Managementmentioning

confidence: 99%

Electric Vehicle-to-Vehicle (V2V) Power Transfer: Electrical and Communication Developments

Shafiqurrahman,

Khadkikar,

Rathore

2024

IEEE Trans. Transp. Electrific.

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The concept of energy transfer between two vehicles and communication between them is a promising one for the future of electrified transportation sector. In response to the growing research and interest in vehicle-to-vehicle (V2V) technology, this article provides an in-depth review on the actual energy transfer between two vehicles and their communication aspects. The literature is addressed to analyze power electronics topologies for successful V2V power transfer and compare V2V charging optimization techniques. Communication protocols and standards relevant to V2V technology are also discussed with a focus on their potential applications for improving transportation safety and efficiency. Further, challenges faced by existing V2V power transfer solutions and the commercial products available for implementing V2V charging are described. In contrast to other literature surveys, this paper provides a comprehensive overview of V2V power transfer and communication technologies with implications for the future of sustainable electrified transportation. The study and discussion of over 300 papers on the topic are encompassed in this paper.

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“…Given the strong interconnection between scientific domains and industrial development sectors, extensive research communities are investigating all facets of autonomous vehicles. Advanced driver assistance systems (ADAS) represent a partial automation architecture designed to assist the driver [4], encompassing lane detection and tracking, lane departure warnings, blindspot detection warnings, and collision-avoidance systems [5]. Moreover, the study of vehicle dynamics can be subdivided into two subdynamical systems capable of describing vehicle behavior as lateral and longitudinal dynamics.…”

Section: Introductionmentioning

confidence: 99%

ROS Implementation of Planning and Robust Control Strategies for Autonomous Vehicles

Hachem,

Borrell,

Sename

et al. 2023

Electronics

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Autonomous vehicles are rapidly emerging as a crucial sector within the automotive industry. Several companies are investing in the development and enhancement of technologies, which presents challenging problems in the context of robotics and control. In particular, this work primarily focuses on the creation of an autonomous vehicle architecture utilizing the robotic operating system (ROS2) framework, accompanied by advanced control algorithms. In order to facilitate the development and implementation of lateral vehicle dynamics controllers, a reduced-size automated car available in GIPSA-Lab is used as an experimental platform. The objective is to design robust controllers capable of achieving optimal tracking and stability. Accordingly, this problem is tackled under different robust control syntheses, considering the H∞ approach: using linear time-invariant (LTI) and linear parameter-varying (LPV) model representations. Several simulation and experimental results are included to demonstrate the efficiency of the controllers.

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Advanced Driver Assitance System (ADAS)

Cited by 26 publications

References 12 publications

Centralised and Decentralised Sensor Fusion-Based Emergency Brake Assist

Centralised and Decentralised Sensor Fusion-Based Emergency Brake Assist

Electric Vehicle-to-Vehicle (V2V) Power Transfer: Electrical and Communication Developments

ROS Implementation of Planning and Robust Control Strategies for Autonomous Vehicles

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