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.
Modern scanning microscopes can image materials with up to sub-atomic spatial and sub-picosecond time resolutions, but these capabilities come with large volumes of data, which can be difficult to store and analyze.
Engineering 5.0 · Research 7.0 · Business 5.0
In the self-driving vehicles domain, steering control is a process that transforms information obtained from sensors into commands that steer the vehicle on the road and avoid obstacles.
Engineering 5.0 · Research 8.0 · Business 5.0
Simulation validation is performed on both datasets to assess the performance of our model.
Engineering 5.0 · Research 7.0 · Business 5.0
With the development of autonomous driving, precise positioning capabilities are becoming increasingly important.
Engineering 5.0 · Research 8.0 · Business 5.0
The tracking accuracy of nearby vehicles determines the safety and feasibility of driver assistance systems or autonomous vehicles.
Engineering 5.0 · Research 8.0 · Business 5.0
Accompanying the increase in demand for autonomous systems and robotic solutions is the increase in the relevance of various depth estimation technologies.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: A rapid simulation development platform for autonomous driving based on CARLA and ROS.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving.
Engineering 5.0 · Research 7.0 · Business 5.0
To this end, we propose a plug-and-play module termed range-image fusion (RI-Fusion) to achieve an effective fusion of LiDAR and camera data, designed to be easily accessible by existing mainstream LiDAR-based algorithms.
Engineering 5.0 · Research 7.0 · Business 5.0
In this research, a novel navigation algorithm for self-driving vehicles that avoids collisions with pedestrians and ad hoc obstacles is described.
Engineering 5.0 · Research 8.0 · Business 5.0
This paper proposes replacing the classical mechanism model with a recurrent neural network (RNN) for vehicle dynamical state prediction under the framework of MPC to achieve higher control effects under high speed steering processes.
Engineering 5.0 · Research 8.0 · Business 5.0
An autonomous driving research paper: A computational model of deep learning in self-driving car.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: Sentiment Analysis of Self Driving Car Dataset: A comparative study of Deep Learning approaches.
Engineering 5.0 · Research 7.0 · Business 5.0
Automobile datasets for 3D object detection are typically obtained using expensive high-resolution rotating LiDAR with 64 or more channels (Chs).
Engineering 5.0 · Research 7.0 · Business 5.0
We introduce Unified Autonomous Driving (UniAD), a comprehensive framework up-to-date that incorporates full-stack driving tasks in one network.
Engineering 5.5 · Research 8.0 · Business 5.0
In this paper, we propose an error anchor punishment mechanism based on image semantic segmentation results.
Engineering 5.0 · Research 7.0 · Business 5.0
To address this, we present a novel Semi-Supervised Domain Adaptation method for 3D object detection (SSDA3D), where only a few labeled target data is available, yet can significantly improve the adaptation performance.
Engineering 7.0 · Research 8.0 · Business 6.0
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for contextual information extraction and decision making.
Engineering 5.5 · Research 8.0 · Business 5.5
Self-driving automobiles are prominent in science and technology, which affect social and economic development.
Engineering 5.5 · Research 7.0 · Business 5.0
A self-driving automobile is one that can sense its environment and navigate obstacles like traffic and other vehicles on its own with little to no human intervention.
Engineering 5.5 · Research 7.0 · Business 6.0