Browse curated autonomous driving papers on end-to-end driving, BEV perception, 3D object detection, motion prediction, path planning, ADAS, Tesla FSD, Waymo, and self-driving foundation models.
The rotating machinery is continuously monitored in practical application.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper presents a comprehensive study on road lane segmentation using an advanced convolutional neural network architecture, DeepUNet24, which builds upon the U-Net model.
Engineering 5.0 · Research 8.0 · Business 5.0
In recent years, there has been an increased emphasis on autonomous driving technologies to improve vehicle road safety amidst rising traffic congestion and the complexities of intersection jaywalking and diverse road conditions.
Engineering 5.0 · Research 7.0 · Business 5.0
In this paper, we propose a method to recognize obstacles by fusion of images and point cloud data generated from high-resolution 3D LiDAR.
Engineering 5.0 · Research 7.0 · Business 5.0
Therefore, to enable continuous tracking over long distances, this paper proposes a robust tracking and detection system based on radar-camera fusion in urban autonomous driving.
Engineering 5.0 · Research 7.0 · Business 5.0
We present a monocular depth estimation method for autonomous indoor obstacle avoidance and waypoint navigation of nano-quadcopters demonstrated on the Bitcraze Crazyflie 2.1 which weighs a mere 33g.
Engineering 6.0 · Research 7.0 · Business 5.5
Our model incorporates two modules.
Engineering 7.0 · Research 7.0 · Business 5.0
To address these challenges, we propose a robust BEV representation network that integrates Dual-Space Positional Encoding (DSPE) and image perception.
Engineering 5.5 · Research 7.0 · Business 5.0
To this end, we present t-READi, an adaptive inference system that accommodates the variability of multimodal sensory data and thus enables robust and efficient perception.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper presents a local trajectory planning and obstacle avoidance strategy based on a novel sampling-based path-finding algorithm designed for autonomous vehicles navigating complex environments.
Engineering 5.0 · Research 8.0 · Business 5.0
We introduce ERFedSCDepth, an innovative approach amalgamating experience replay, federated learning, and deep self-supervision to allow the training of monocular depth estimators with high effectiveness and efficiency.
Engineering 5.0 · Research 8.0 · Business 5.0
To tackle the twin challenges of limited battery life and lengthy charging durations in electric vehicles (EV s), this paper introduces an Energy-efficient Hybrid Model Predictive Planner (EHMPP), which employs an energy-saving optimization strategy.
Engineering 5.0 · Research 7.0 · Business 5.0
To leverage the strengths of both IL and RL, we propose RAMBLE, an end-to-end world model-based RL method for driving decision-making.
Engineering 7.0 · Research 8.0 · Business 5.0
The paper presents research related to coastal observation using a camera and LiDAR (Light Detection and Ranging) mounted on an unmanned surface vehicle (USV).
Engineering 5.0 · Research 7.0 · Business 5.0
In this article, we propose a decision making and motion planning method for roundabouts by an iterative learning-based optimization.
Engineering 5.0 · Research 7.0 · Business 5.0
To this end, this research develops a pretrained spatial-temporal transformer (PST-Transformer) model to facilitate the issue.
Engineering 5.0 · Research 8.0 · Business 5.0
In particular, to improve the performance of the vision-based model, our model considers three key aspects.
Engineering 5.5 · Research 8.0 · Business 5.0
This paper proposes a multi-modal point cloud 3D object detector based on projection features and voxel features, which consists of two branches.
Engineering 5.0 · Research 7.0 · Business 5.0
Numerous sensor integration frameworks have been presented using multiple setups, sensor combinations, and fusion methodologies.
Engineering 5.0 · Research 7.0 · Business 5.0
We propose a ground truth strategy based on homography estimation and object detection, eliminating the need for expensive LIDAR sensors.
Engineering 5.5 · Research 8.0 · Business 5.5