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.
First, we design a new Transformer structure to generate lane-by-lane parameter matrices from a global perspective instead of extracting features, efficiently constructing per-lane conditional convolution kernels.
Engineering 7.0 · Research 8.0 · Business 5.0
We present the CARLA corner case simulation (3CSim) for evaluating autonomous driving (AD) systems within the CARLA simulator.
Engineering 5.0 · Research 7.0 · Business 5.0
Autonomous cars are intelligent machines that can operate and move automatically without human control.
Engineering 5.0 · Research 7.0 · Business 5.0
The self-driving car industry is gaining attention for its role in motion planning technology.
Engineering 5.0 · Research 7.0 · Business 5.0
To address this issue, we propose CoVLA (Comprehensive Vision-Language-Action) Dataset, an extensive dataset comprising real-world driving videos spanning more than 80 hours.
Engineering 6.0 · Research 8.5 · Business 5.5
We propose two innovative approaches to enhance lane detection in these challenging environments, each showing notable improvements over conventional methods.
Engineering 5.0 · Research 7.0 · Business 5.0
Vehicle-to-everything (V2X) cooperation has emerged as a promising paradigm to overcome the perception limitations of classical autonomous driving by leveraging information from both ego-vehicle and infrastructure sensors.
Engineering 6.0 · Research 8.0 · Business 6.5
To address this challenge, we introduce Simulation-Based Robustness Assessment Framework (S-RAF) for autonomous driving.
Engineering 5.0 · Research 7.0 · Business 5.0
In this paper, we propose DRAMA, the first Mamba-based end-to-end motion planner for autonomous vehicles.
Engineering 5.5 · Research 8.0 · Business 5.0
Specifically, we used Deep Q-Network (DQN) and Proximal Policy Optimization (PPO) for comparative experiments.
Engineering 5.5 · Research 7.0 · Business 5.5
In this paper, we design a novel lane detection network namely HW-Transformer, which is based on row and column multi-head self-attention.
Engineering 6.5 · Research 8.0 · Business 5.0
An autonomous driving research paper: Model Predictive Trajectory Optimization and Control for Autonomous Surface Vessels Considering Traffic Rules.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper introduces DriveArena, the first high-fidelity closed-loop simulation system designed for driving agents navigating real-world scenarios.
Engineering 5.5 · Research 7.0 · Business 5.5
3D object-detection based on LiDAR point clouds can help driverless vehicles detect obstacles.
Engineering 5.0 · Research 7.0 · Business 5.0
Additionally, we introduce a simulated pruning strategy with the same effects of weight recovery but while maintaining stable convergence.
Engineering 5.0 · Research 7.0 · Business 5.0
Our experiments on the nuScenes and Waymo Open datasets show that all variants of our approach qualitatively and quantitatively outperform prior approaches.
Engineering 5.5 · Research 7.0 · Business 6.0
Our approach to resolving the issue of sensor asynchrony yields promising results.
Engineering 5.0 · Research 8.0 · Business 5.0
To address these issues, we propose OE-BevSeg, an end-to-end multimodal framework that enhances BEV segmentation performance through global environment-aware perception and local target object enhancement.
Engineering 7.5 · Research 8.0 · Business 5.0
Machine learning influences numerous aspects of modern society, empowers new technologies, from Alphago to ChatGPT, and increasingly materializes in consumer products such as smartphones and self-driving cars.
Engineering 5.0 · Research 8.0 · Business 5.0
To realize accurate environment perception, which is the technological key to enabling autonomous vehicles to interact with their external environments, it is primarily necessary to solve the issues of object detection and tracking in the vehicle-movement process.
Engineering 5.0 · Research 7.0 · Business 5.0