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A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver

arXiv 2105.09446 ↗First posted 20 May 2021cs.RO cs.LG cs.SYcited by 0

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Abstract (arXiv)

As passenger vehicle technologies have advanced, so have their capabilities to avoid obstacles, especially with developments in tires, suspensions, steering, as well as safety technologies like ABS, ESC, and more recently, ADAS systems. However, environments around passenger vehicles have also become more complex, and dangerous. There have previously been studies that outline driver tendencies and performance capabilities when attempting to avoid obstacles while driving passenger vehicles. Now that autonomous vehicles are being developed with obstacle avoidance capabilities, it is important to target performance that meets or exceeds that of human drivers. This manuscript highlights systems that are crucial for an emergency obstacle avoidance maneuver (EOAM) and identifies the state-of-the-art for each of the related systems, while considering the nuances of traveling at highway speeds. Some of the primary EOAM-related systems/areas that are discussed in this review are: general path planning methods, system hierarchies, decision-making, trajectory generation, and trajectory-tracking control methods. After concluding remarks, suggestions for future work which could lead to an ideal EOAM development, are discussed.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 236 references that are in the map. First posted on arXiv 20 May 2021.

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6 of 236 references.

References · 6

  1. 2016A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehiclescited by 254
  2. 2015The social dilemma of autonomous vehiclescited by 48
  3. 2020Machine Ethics and Automated Vehiclescited by 7
  4. 2018Guaranteeing Consistency in a Motion Planning and Control Architecture Using a Kinematic Bicycle Modelcited by 6
  5. 2018Trajectory Generation using Sharpness Continuous Dubins-like Paths with Applications in Control of Heavy Duty Vehiclescited by 1
  6. 2018Model Predictive Control for Autonomous Driving considering Actuator Dynamicscited by 1

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