What are the safety issues of autonomous driving?
3 Answers
Autonomous driving safety issues can be controlled by computers. Levels of autonomous driving: Level 0: Emergency assistance; Level 1: Partial driving assistance; Level 2: Combined driving assistance; Level 3: Conditional autonomous driving; Level 4: High autonomous driving; Level 5: Full autonomous driving. Benefits of autonomous driving: The "Classification of Driving Automation" is one of the foundational standards in China's intelligent connected vehicle standard system. This national standard is expected to end the chaos in product promotion. Additionally, as a fundamental standard in China's intelligent connected vehicle standard system, it will also provide support for the introduction of subsequent autonomous driving-related laws, regulations, and mandatory standards in China.
The safety concerns of autonomous driving are quite worrying in my observation of technological development. First is the sensor issue—cameras and radars often malfunction in rainy or foggy weather, and unreliable data fusion leads to misjudgment of road conditions or missed pedestrian intrusions. Second is software bugs—frequent updates may introduce new glitches, and the system struggles with complex traffic scenarios like roundabouts. Additionally, real-time decision-making lacks responsiveness—AI reacts slower than human drivers on highways. Testing coverage is incomplete—simulated environments can't represent all real-world challenges, such as animals crossing roads. Lastly, human-machine interaction flaws exist—users are unprepared when the system suddenly demands takeover, and over-reliance leads to distracted phone use. These accumulated minor failures can escalate into major accidents, requiring better warning mechanisms and continuous optimization by manufacturers.
As an ordinary car owner, I've experienced the safety hazards of autonomous driving assistance systems. Over-reliance makes drivers complacent - distracted by phones on highways when problems strike unexpectedly: dirty sensors cause false blind-spot alerts triggering unnecessary emergency braking and rear-end collision risks; or sudden software crashes demanding immediate takeover when human reaction falls short. In extreme weather like snow-covered roads, radar failures leave vehicles disoriented. The interaction is also weak - AI reacts sluggishly to sudden lane changes by other cars. Automakers should strengthen user education but can't rely on self-discipline; they must improve automatic sensor cleaning and implement louder warning alerts to reduce daily driving scares.
