Dolphins: Multimodal language model for driving

Y Ma, Y Cao, J Sun, M Pavone, C **ao - European Conference on …, 2024 - Springer
The quest for fully autonomous vehicles (AVs) capable of navigating complex real-world
scenarios with human-like understanding and responsiveness. In this paper, we introduce …

Multi-modal 3d object detection in autonomous driving: a survey

Y Wang, Q Mao, H Zhu, J Deng, Y Zhang, J Ji… - International Journal of …, 2023 - Springer
The past decade has witnessed the rapid development of autonomous driving systems.
However, it remains a daunting task to achieve full autonomy, especially when it comes to …

Sora-based parallel vision for smart sensing of intelligent vehicles: From foundation models to foundation intelligence

H Yu, X Liu, Y Tian, Y Wang, C Gou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
There are a large number of functional sensors installed on the modern intelligent vehicles.
Many Artificial Intelligence based foundation models have been proposed for smart sensing …

Single photon detectors for automotive lidar applications: State-of-the-art and research challenges

X Qian, W Jiang, MJ Deen - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Due to the fast growth of the autonomous vehicles industry, there is a growing need for
distance sensing systems. Among such systems, the light detection and ranging (LiDAR) …

Optical flow estimation for spiking camera

L Hu, R Zhao, Z Ding, L Ma, B Shi… - Proceedings of the …, 2022 - openaccess.thecvf.com
As a bio-inspired sensor with high temporal resolution, the spiking camera has an enormous
potential in real applications, especially for motion estimation in high-speed scenes …

Edgeloc: A communication-adaptive parallel system for real-time localization in infrastructure-assisted autonomous driving

B Liu, J Tong, Y Zhuang - arxiv preprint arxiv:2405.12120, 2024 - arxiv.org
This paper presents EdgeLoc, an infrastructure-assisted, real-time localization system for
autonomous driving that addresses the incompatibility between traditional localization …

Low-complexity adaptive radius outlier removal filter based on PCA for lidar point cloud denoising

Y Duan, C Yang, H Li - Applied Optics, 2021 - opg.optica.org
In autonomous driving, cars rely on light detection and ranging (lidar) to navigate the
surroundings, but interference from the environment makes it difficult to retrieve useful …

Advanced techniques for perception and localization in autonomous driving systems: A survey

Q Sellat, K Ramasubramanian - Optical Memory and Neural Networks, 2022 - Springer
Autonomous driving research has progressed significantly in recent years. In order to travel
safely, comfortably, and effectively, an autonomous car must completely comprehend the …

Fine-grained image generation network with radar range profiles using cross-modal visual supervision

J Bao, D Li, S Li, G Zhao, H Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electromagnetic imaging methods mainly utilize converted sampling, dimensional
transformation, and coherent processing to obtain spatial images of targets, which often …

[HTML][HTML] Utilizing probabilistic maps and unscented-Kalman-filtering-based sensor fusion for real-time Monte Carlo localization

WA Farag, JMH Barakat - World Electric Vehicle Journal, 2023 - mdpi.com
An autonomous car must know where it is with high precision in order to maneuver safely
and reliably in both urban and highway environments. Thus, in this paper, a reliable and …