Autonomous Roborace Car Drove Directly into a Wall

During the Season Beta 1.1 Roborace event, two autonomous racing vehicles experienced significant navigation failures. One vehicle collided with a wall, while another suffered positioning errors that caused it to become lost on the track, leading to the termination of its race.

An autonomous Roborace car drove itself into a wall in round one of the Season Beta 1.1 race.

Source: AI Incident Database

Risk classification

  • Primary risk domain: 7 AI system safety, failures, & limitations
  • Primary risk subdomain: 7.3 Lack of capability or robustness

The autonomous racing vehicles failed to perform reliably under racing conditions, resulting in a direct collision with a wall and positioning errors.

Causal factors

  • Entity: AI
  • Intent: Unintentional
  • Timing: Post-deployment

The incident was caused by the autonomous driving systems of the racing cars failing to navigate the track correctly post-deployment, leading to an unintentional crash and positioning errors.

EU AI Act risk tier

  • Risk tier: 4 Minimal or No Risk

Minimal or No Risk: The AI systems are used in an autonomous racing competition, which is a form of entertainment and research on a closed track, posing low risk to public safety.

AI system and alleged parties

  • AI system: Autonomous Racing Graz vehicle, SIT Acronis Autonomous car
  • AI purpose: Autonomous Driving
  • Behaviour type: Autonomous
  • Alleged developer: SIT Acronis Autonomous
  • Alleged deployer: SIT Acronis Autonomous
  • Alleged harmed parties: SIT Acronis Autonomous

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

  • Physical: direct Negligible, indirect Negligible
  • Infrastructure: direct Negligible, indirect Negligible
  • Property: direct Minor, indirect Negligible
  • Financial: direct Negligible, indirect Negligible
  • Environmental: direct Negligible, indirect Negligible
  • Malicious content: direct Negligible, indirect Negligible
  • Differential treatment: direct Negligible, indirect Negligible
  • Civil rights: direct Negligible, indirect Negligible
  • Democracy: direct Negligible, indirect Negligible
  • Privacy: direct Negligible, indirect Negligible
  • Psychological: direct Negligible, indirect Negligible
  • Epistemic: direct Negligible, indirect Negligible
  • Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Property

Reported: The report explicitly describes property damage to the autonomous racing vehicle that crashed.

Directly caused: The SIT Acronis Autonomous self-driving car suffered damage after abruptly driving directly into a wall.

Inferred additional harm: It is highly likely that the collision caused significant physical damage to the expensive autonomous racing vehicle, though the exact monetary value of the damage is not specified.

People affected

  • Occurrences reported: 2

Potential causes

Technology

  • Steering Control Anomaly: Car abruptly steered directly into a wall on a gentle curve.
  • Positioning System Error: Vehicle lost its tracking and got lost on the track.

Data Inputs

  • Positioning Data Loss: Loss of tracking data caused the vehicle to get lost.

Process and Methods

  • High-Speed Decision Deficit: Algorithms failed to react quickly enough at high racing speeds.

Information quality

  • Classification confidence: High
  • Reason for confidence: The report clearly describes the physical events of the race, including the crash of one vehicle and the positioning failure of another. There is no ambiguity about the AI's role or the outcomes.
  • Ambiguities identified: The exact technical cause of the SIT Acronis vehicle's sudden turn into the wall is not specified.

During a closed-track autonomous racing event, two self-driving cars suffered navigation and positioning failures, resulting in one crash and one vehicle getting lost. This was an unintentional technical failure during a research and entertainment event with negligible national security implications.

  • Overall national security impact: Negligible
  • Scope: Unknown
  • Primary target: No clear primary
  • Alleged perpetrator: Unknown

Threat characteristics

  • Imminence: Long-term. The incident represents a technical engineering challenge in autonomous systems rather than an active security threat or crisis.
  • Autonomy: Full autonomy. The vehicles were operating fully autonomously, attempting to navigate the racetrack and make real-time driving decisions without human intervention.
  • Novelty: Established threat. Navigation and positioning failures in autonomous vehicles are well-documented technical challenges and do not represent a novel threat vector.

Impact by dimension

  • Physical security: Negligible. The incident occurred on a closed racing circuit during an entertainment and research event, posing no threat to critical infrastructure, public safety, or military systems.
  • Information security: Negligible. No intelligence compromise, classified data exposure, or information operations were associated with this autonomous racing event failure.
  • Sovereignty: Negligible. The navigation failure of autonomous racing cars has no impact on state authority, border control, or government operations.
  • Economic security: Negligible. While there was localized property damage to the private racing vehicle, there was no threat to strategic industries, critical supply chains, or national economic security.
  • Societal stability: Negligible. No societal impact, surveillance concerns, civil liberties violations, or public safety issues resulted from this closed-track incident.
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