# Autonomous Vehicle Technology and Safety

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the technology and safety systems related to autonomous vehicles, including trajectory prediction, driver assistance systems, lane detection, collision avoidance, pedestrian behavior analysis, sensor fusion, deep learning applications, urban driving challenges, and machine learning techniques. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t11099 |
| Works | 76 |

## Topic papers all

Showing 15 of 76.

- [Social LSTM: Human Trajectory Prediction in Crowded Spaces](https://scholariq.org/papers/social-lstm-human-trajectory-prediction-in-crowded-spaces/)
- [Autonomous driving in urban environments: Boss and the Urban Challenge](https://scholariq.org/papers/autonomous-driving-in-urban-environments-boss-and-the-urban-challenge/)
- [Autonomous vehicle perception: The technology of today and tomorrow](https://scholariq.org/papers/autonomous-vehicle-perception-the-technology-of-today-and-tomorrow/)
- [Multi-Agent Tensor Fusion for Contextual Trajectory Prediction](https://scholariq.org/papers/multi-agent-tensor-fusion-for-contextual-trajectory-prediction/)
- [Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review](https://scholariq.org/papers/deep-learning-sensor-fusion-for-autonomous-vehicle-perception-and-localization-a/)
- [Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring](https://scholariq.org/papers/driver-behavior-profiling-using-smartphones-a-low-cost-platform-for-driver/)
- [Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs](https://scholariq.org/papers/probabilistic-decision-making-under-uncertainty-for-autonomous-driving-using/)
- [Big Data Analytics and IoT in logistics: a case study](https://scholariq.org/papers/big-data-analytics-and-iot-in-logistics-a-case-study/)
- [Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks](https://scholariq.org/papers/vision-based-semantic-segmentation-in-scene-understanding-for-autonomous-driving/)
- [Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning](https://scholariq.org/papers/learning-driver-behavior-models-from-traffic-observations-for-decision-making/)
- [A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments](https://scholariq.org/papers/a-probabilistic-model-for-estimating-driver-behaviors-and-vehicle-trajectories/)
- [Relationships between driving simulator performance and driving test results](https://scholariq.org/papers/relationships-between-driving-simulator-performance-and-driving-test-results/)
- [A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving](https://scholariq.org/papers/a-deep-learning-based-hybrid-framework-for-object-detection-and-recognition-in/)
- [Analysis of autopilot disengagements occurring during autonomous vehicle testing](https://scholariq.org/papers/analysis-of-autopilot-disengagements-occurring-during-autonomous-vehicle-testing/)
- [ST‐SIGMA: Spatio‐temporal semantics and interaction graph aggregation for multi‐agent perception and trajectory forecasting](https://scholariq.org/papers/st-sigma-spatio-temporal-semantics-and-interaction-graph-aggregation-for-multi/)

## Topic primary papers

Showing 15 of 27.

- [Autonomous driving in urban environments: Boss and the Urban Challenge](https://scholariq.org/papers/autonomous-driving-in-urban-environments-boss-and-the-urban-challenge/)
- [Autonomous vehicle perception: The technology of today and tomorrow](https://scholariq.org/papers/autonomous-vehicle-perception-the-technology-of-today-and-tomorrow/)
- [Multi-Agent Tensor Fusion for Contextual Trajectory Prediction](https://scholariq.org/papers/multi-agent-tensor-fusion-for-contextual-trajectory-prediction/)
- [Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring](https://scholariq.org/papers/driver-behavior-profiling-using-smartphones-a-low-cost-platform-for-driver/)
- [Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs](https://scholariq.org/papers/probabilistic-decision-making-under-uncertainty-for-autonomous-driving-using/)
- [Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks](https://scholariq.org/papers/vision-based-semantic-segmentation-in-scene-understanding-for-autonomous-driving/)
- [Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning](https://scholariq.org/papers/learning-driver-behavior-models-from-traffic-observations-for-decision-making/)
- [ST‐SIGMA: Spatio‐temporal semantics and interaction graph aggregation for multi‐agent perception and trajectory forecasting](https://scholariq.org/papers/st-sigma-spatio-temporal-semantics-and-interaction-graph-aggregation-for-multi/)
- [Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites](https://scholariq.org/papers/hyper-relational-interaction-modeling-in-multi-modal-trajectory-prediction-for/)
- [Human trajectory prediction and generation using LSTM models and GANs](https://scholariq.org/papers/human-trajectory-prediction-and-generation-using-lstm-models-and-gans/)
- [Vulnerable objects detection for autonomous driving: A review](https://scholariq.org/papers/vulnerable-objects-detection-for-autonomous-driving-a-review/)
- [w3181376804](https://scholariq.org/papers/w3181376804/)
- [Analysis of LiDAR and Camera Data in Real-World Weather Conditions for Autonomous Vehicle Operations](https://scholariq.org/papers/analysis-of-lidar-and-camera-data-in-real-world-weather-conditions-for/)
- [Autonomous vehicle for surveillance missions in off-road environment](https://scholariq.org/papers/autonomous-vehicle-for-surveillance-missions-in-off-road-environment/)
- [Autonomous collision avoidance system based on accurate knowledge of the vehicle surroundings](https://scholariq.org/papers/autonomous-collision-avoidance-system-based-on-accurate-knowledge-of-the-vehicle/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.