Explainability of deep vision-based autonomous driving systems: Review and challenges
This survey reviews explainability methods for vision-based self-driving systems trained with
behavior cloning. The concept of explainability has several facets and the need for …
behavior cloning. The concept of explainability has several facets and the need for …
Effects of scene detection, scene prediction, and maneuver planning visualizations on trust, situation awareness, and cognitive load in highly automated vehicles
The successful introduction of automated vehicles (AVs) depends on the user's acceptance.
To gain acceptance, the intended user must trust the technology, which itself relies on an …
To gain acceptance, the intended user must trust the technology, which itself relies on an …
[HTML][HTML] Pedestrian intention prediction: A convolutional bottom-up multi-task approach
The ability to predict pedestrian behaviour is crucial for road safety, traffic management
systems, Advanced Driver Assistance Systems (ADAS), and more broadly autonomous …
systems, Advanced Driver Assistance Systems (ADAS), and more broadly autonomous …
Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
Autonomous vehicles (AVs) aim to improve safety and comfort of road users while
contributing to the reduction of traffic congestion, air pollution, fuel consumption, and …
contributing to the reduction of traffic congestion, air pollution, fuel consumption, and …
Fuller: Unified multi-modality multi-task 3d perception via multi-level gradient calibration
Z Huang, S Lin, G Liu, M Luo, C Ye… - Proceedings of the …, 2023 - openaccess.thecvf.com
Multi-modality fusion and multi-task learning are becoming trendy in 3D autonomous driving
scenario, considering robust prediction and computation budget. However, naively …
scenario, considering robust prediction and computation budget. However, naively …
Exploring attribute localization and correlation for pedestrian attribute recognition
Abstract Pedestrian Attribute Recognition (PAR) is currently an emerging research topic in
the field of video surveillance. For PAR, it usually needs to analyze dozens of attributes …
the field of video surveillance. For PAR, it usually needs to analyze dozens of attributes …
Keypoint communities
We present a fast bottom-up method that jointly detects over 100 keypoints on humans or
objects, also referred to as human/object pose estimation. We model all keypoints belonging …
objects, also referred to as human/object pose estimation. We model all keypoints belonging …
Do pedestrians pay attention? eye contact detection in the wild
In urban or crowded environments, humans rely on eye contact for fast and efficient
communication with nearby people. Autonomous agents also need to detect eye contact to …
communication with nearby people. Autonomous agents also need to detect eye contact to …
Towards comprehensive understanding of pedestrians for autonomous driving: Efficient multi-task-learning-based pedestrian detection, tracking and attribute …
Y Zhou, X Zeng - Robotics and Autonomous Systems, 2024 - Elsevier
Safe interaction with pedestrians is important for autonomous vehicles in urban
environments. Comprehensive understanding of pedestrian behavior is a challenge for …
environments. Comprehensive understanding of pedestrian behavior is a challenge for …
Composite relationship fields with transformers for scene graph generation
Scene graph generation (SGG) methods extract relationships between objects. While most
methods focus on improving top-down approaches, which build a scene graph based on …
methods focus on improving top-down approaches, which build a scene graph based on …