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.
In this paper, we propose an UAV landing system equipped with a binocular camera to preform 3D reconstruction and select the safe landing zone.
Engineering 5.0 · Research 7.0 · Business 5.0
Research on the design of autonomous vehicle controllers has always been the focus and difficulty in the field of autonomous driving.
Engineering 5.0 · Research 7.0 · Business 5.0
<title>ABSTRACT</title> <p>This paper provides a comparison of the Gazebo and ANVEL simulators and analyzes the aspects of vehicle modeling fidelity that are critical to the design of unmanned ground vehicle (UGV) control and estimation algorithms.
Engineering 5.0 · Research 7.0 · Business 6.0
To this end, this paper proposes a novel multimodal trustworthiness fusion and prediction model.
Engineering 5.5 · Research 8.0 · Business 5.0
To this end, we propose LidaRefer, a context-aware 3D VG framework for outdoor scenes.
Engineering 5.0 · Research 8.0 · Business 5.0
In addition, we leverage a generalized safety-embedded MPC problem definition with a discrete barrier state (DBaS).
Engineering 5.0 · Research 7.0 · Business 5.0
In this paper, we present a novel framework termed BEV-TP, a visual context-guided center-based transformer network for joint 3D perception and trajectory prediction.
Engineering 6.0 · Research 8.0 · Business 5.0
In the realm of modern autonomous driving, the perception system is indispensable for accurately assessing the state of the surrounding environment, thereby enabling informed prediction and planning.
Engineering 6.0 · Research 8.0 · Business 5.5
Accurate and reliable perception of the surrounding environment, e.g., detection and classification of nearby objects, is the primary and most important function of automated/autonomous vehicles.
Engineering 5.5 · Research 7.0 · Business 5.5
To address these issues, we introduce a novel lightweight BEV perception method, PolarPoint-BEV, which prioritizes the regions according to object distances to the ego vehicle.
Engineering 5.5 · Research 8.0 · Business 5.0
In this paper, we explore vulnerabilities of MDE algorithms in AD systems, presenting LensAttack , a novel physical attack that strategically places optical lenses on the camera of an autonomous vehicle to manipulate the perceived object depths.
Engineering 6.0 · Research 8.0 · Business 5.5
We introduce EMMA, an End-to-end Multimodal Model for Autonomous driving.
Engineering 6.0 · Research 8.5 · Business 6.0
The global community is awaiting the advent of a self-driving vehicle that is safe, reliable, and capable of navigating a diverse range of road conditions and terrains.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper explores the application of deep reinforcement learning (RL) techniques in the domain of autonomous self-driving car racing.
Engineering 5.0 · Research 8.0 · Business 5.0
This paper presents Senna, an autonomous driving system combining an LVLM (Senna-VLM) with an end-to-end model (Senna-E2E).
Engineering 7.5 · Research 8.0 · Business 5.0
This project explores the integration of image and point cloud data for 3D object detection using the F-PointNet model, aiming to enhance accuracy and reliability in autonomous driving applications.
Engineering 5.0 · Research 7.0 · Business 5.0
Experiments on the nuScenes dataset show that the model in this paper improves the inference speed to approximately two times that of the existing studies and shrinks the number of model parameters to 1/2 without losing too much prediction performance.
Engineering 6.0 · Research 7.0 · Business 5.0
Automated driving has gained significant attention because it can eliminate severe driving risks in real time.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper presents a study on aircraft engine identification using real-time 3D LiDAR point cloud segmentation technology, a key element for the development of automated docking systems in airport boarding facilities, known as jetbridges.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper presents an autonomous navigation framework for underwater robots that are equipped with a monocular camera and pressure sensors.
Engineering 5.5 · Research 7.0 · Business 5.5