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.
This study examines the forms of spatiality present in Freud’s work and proposes that affect is inscribed from the outset through spatial operations, according to the idea that affect speaks before words emerge.
Engineering 5.0 · Research 7.0 · Business 5.0
Abstract Purpose In-law abuse is a pervasive social problem with devastating physical, psychological, health, and social consequences.
Engineering 5.0 · Research 7.0 · Business 5.0
Safe and efficient multirotor UAV operation during takeoff and landing is critically challenged by the ground effect, a phenomenon whose complexity is compounded in non-ideal environments.
Engineering 5.5 · Research 7.0 · Business 5.5
The study provides an in-depth analysis of the technological advancements in modern machining and its impact on the global industry.
Engineering 5.0 · Research 7.0 · Business 5.0
Drawing inspiration from phase transition theory in statistical physics, this paper proposes a novel architectural paradigm named Memory Vaporization Neural Network (MV-Net) to transcend the traditional binary dichotomy of knowledge retention and erasure.
Engineering 5.0 · Research 8.0 · Business 5.0
Emergency vehicle (EV) progression at consecutive arterial intersections in an intelligent connected environment is often disrupted by upstream queues, downstream spillback, and mismatches in multi-intersection signal coordination.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper presents a supervised multi-label framework for detecting multidimensional perceived risk in HIV-related Reddit discourse.
Engineering 5.0 · Research 7.0 · Business 5.0
Remarkable advancements in artificial intelligence (AI) have been made in recent years.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: SMTF-Net: Semantic-Guided Multi-scale Temporal Fusion Network for Autonomous Driving Perception.
Engineering 5.0 · Research 7.0 · Business 5.0
Abstract Purpose Accurate and timely prediction of wheat yield is crucial to apply precision agriculture management and ensure food security.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper presents an advanced radar signal processing framework for autonomous vehicles that integrates adaptive preprocessing, target detection, clutter suppression, feature extraction, and object classification to improve perception performance.
Engineering 5.5 · Research 7.0 · Business 6.0
An autonomous driving research paper: An Analysis of Kenya's Cybersecurity Landscape: Threats, Challenges, And Strategic Responses.
Engineering 5.0 · Research 7.0 · Business 5.0
With Generation Z joining the workforce, there have been clear differences in the outlook that this generation has on careers and work environment.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper proposes a Generative Adversarial Network (GAN)-based image restoration framework that effectively reconstructs visually realistic and high-fidelity images.
Engineering 5.0 · Research 7.0 · Business 5.0
The paper presents the architecture of an intelligent agent for end-to-end autonomous vehicle control based on the M3Drive neural network and multimodal data fusion in the CARLA simulation environment.
Engineering 5.5 · Research 7.0 · Business 5.0
In this paper, we propose a novel Resilient Collaborative Decision-Making (RCDM) framework that consists of an attention-based encoder for extracting individual robot perceptual embeddings and an attention-based decoder for fusing collaborator perceptions and making decisions.
Engineering 5.0 · Research 8.0 · Business 5.0
To address this gap and advance radar-based multi-task learning, we propose \method, a 4D radar-camera framework for 360$^\circ$ full-scene perception, which models semantic occupancy as a persistent scene state rather than a terminal output.
Engineering 5.0 · Research 7.0 · Business 5.0
Decentralized multi-robot coordination under partial observability remains challenging, especially in communication-free settings where agents must act solely from local sensor observations.
Engineering 5.0 · Research 8.0 · Business 5.0
We introduce BeyondSight, a permanence-aware end-to-end driving framework that decouples actor existence from observability by maintaining persistent actor hypotheses over time.
Engineering 6.0 · Research 7.0 · Business 5.0
In this work, we present a multimodal framework for autonomous-driving scenario retrieval that combines visual and trajectory-based representations within a unified retrieval pipeline.
Engineering 5.0 · Research 7.0 · Business 5.0