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Dolphins: Multimodal language model for driving
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 …
scenarios with human-like understanding and responsiveness. In this paper, we introduce …
Multi-modal 3d object detection in autonomous driving: a survey
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 …
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
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 …
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
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) …
distance sensing systems. Among such systems, the light detection and ranging (LiDAR) …
Optical flow estimation for spiking camera
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 …
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
This paper presents EdgeLoc, an infrastructure-assisted, real-time localization system for
autonomous driving that addresses the incompatibility between traditional localization …
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 …
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 …
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
Electromagnetic imaging methods mainly utilize converted sampling, dimensional
transformation, and coherent processing to obtain spatial images of targets, which often …
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
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 …
and reliably in both urban and highway environments. Thus, in this paper, a reliable and …