Localization Requirements for Autonomous Vehicles
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Abstract (arXiv)
Autonomous vehicles require precise knowledge of their position and orientation in all weather and traffic conditions for path planning, perception, control, and general safe operation. Here we derive these requirements for autonomous vehicles based on first principles. We begin with the safety integrity level, defining the allowable probability of failure per hour of operation based on desired improvements on road safety today. This draws comparisons with the localization integrity levels required in aviation and rail where similar numbers are derived at 10^-8 probability of failure per hour of operation. We then define the geometry of the problem, where the aim is to maintain knowledge that the vehicle is within its lane and to determine what road level it is on. Longitudinal, lateral, and vertical localization error bounds (alert limits) and 95% accuracy requirements are derived based on US road geometry standards (lane width, curvature, and vertical clearance) and allowable vehicle dimensions. For passenger vehicles operating on freeway roads, the result is a required lateral error bound of 0.57 m (0.20 m, 95%), a longitudinal bound of 1.40 m (0.48 m, 95%), a vertical bound of 1.30 m (0.43 m, 95%), and an attitude bound in each direction of 1.50 deg (0.51 deg, 95%). On local streets, the road geometry makes requirements more stringent where lateral and longitudinal error bounds of 0.29 m (0.10 m, 95%) are needed with an orientation requirement of 0.50 deg (0.17 deg, 95%).
Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Jun 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 5; 2024: 3; 2025: 3; 2026: 2.
16 papers.
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- 2021Explanations in Autonomous Driving: A Surveycited by 81
- 2022SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimationcited by 46
- 2023Convolutional Cross-View Pose Estimationcited by 36
- 2024Enhancing Vectorized Map Perception with Historical Rasterized Mapscited by 29
- 2023View Consistent Purification for Accurate Cross-View Localizationcited by 15
- 2022Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systemscited by 5
- 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllerscited by 4
- 2024Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairnesscited by 3
- 2026D2HDMap: Non-visible Driveline Map Prior for Online Vectorized HD Map Predictioncited by 2
- 2023Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weightscited by 1
- 2025Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization using Aerial Datacited by 1
- 2025SATMapTR: Satellite Image Enhanced Online HD Map Constructioncited by 1
4 more
- 2023Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localizationcited by 0
- 2023A Quantitative Autonomy Quantification Framework for Fully Autonomous Robotic Systemscited by 0
- 2024Camera-Based Localization and Enhanced Normalized Mutual Informationcited by 0
- 2026Integrating Specialized and Generic Agent Motion Prediction with Dynamic Occupancy Grid Mapscited by 0
- 2026D2HDMap: Non-visible Driveline Map Prior for Online Vectorized HD Map Prediction17 Jun 2026
- 2026Integrating Specialized and Generic Agent Motion Prediction with Dynamic Occupancy Grid Maps8 Feb 2026
- 2025SATMapTR: Satellite Image Enhanced Online HD Map Construction12 Dec 2025
- 2025Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization using Aerial Data18 Mar 2025
- 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers4 Mar 2025
- 2024Camera-Based Localization and Enhanced Normalized Mutual Information20 Dec 2024
- 2024Enhancing Vectorized Map Perception with Historical Rasterized Maps1 Sep 2024
- 2024Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness21 Feb 2024
- 2023A Quantitative Autonomy Quantification Framework for Fully Autonomous Robotic Systems3 Nov 2023
- 2023Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights15 Sep 2023
- 2023View Consistent Purification for Accurate Cross-View Localization16 Aug 2023
- 2023Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization30 Jun 2023
4 more
- 2023Convolutional Cross-View Pose Estimation9 Mar 2023
- 2022SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimation26 Nov 2022
- 2022Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems28 Jun 2022
- 2021Explanations in Autonomous Driving: A Survey9 Mar 2021
- 2021Explanations in Autonomous Driving: A Surveycited by 81
- 2022SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimationcited by 46
- 2023Convolutional Cross-View Pose Estimationcited by 36
- 2024Enhancing Vectorized Map Perception with Historical Rasterized Mapscited by 29
- 2023View Consistent Purification for Accurate Cross-View Localizationcited by 15
- 2022Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systemscited by 5
- 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllerscited by 4
- 2024Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairnesscited by 3
- 2026D2HDMap: Non-visible Driveline Map Prior for Online Vectorized HD Map Predictioncited by 2
- 2023Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weightscited by 1
- 2025Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization using Aerial Datacited by 1
- 2025SATMapTR: Satellite Image Enhanced Online HD Map Constructioncited by 1
12 most cited of 16 All 16 (JSON)
- 2026D2HDMap: Non-visible Driveline Map Prior for Online Vectorized HD Map Prediction17 Jun 2026
- 2026Integrating Specialized and Generic Agent Motion Prediction with Dynamic Occupancy Grid Maps8 Feb 2026
- 2025SATMapTR: Satellite Image Enhanced Online HD Map Construction12 Dec 2025
- 2025Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization using Aerial Data18 Mar 2025
- 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers4 Mar 2025
- 2024Camera-Based Localization and Enhanced Normalized Mutual Information20 Dec 2024
- 2024Enhancing Vectorized Map Perception with Historical Rasterized Maps1 Sep 2024
- 2024Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness21 Feb 2024
- 2023A Quantitative Autonomy Quantification Framework for Fully Autonomous Robotic Systems3 Nov 2023
- 2023Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights15 Sep 2023
- 2023View Consistent Purification for Accurate Cross-View Localization16 Aug 2023
- 2023Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization30 Jun 2023
12 newest of 16 All 16 (JSON)